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SPEVI
Datasets
This
page provides publicly available benchmark datasets for testing and
evaluating target tracking algorithms for surveillance-related
applications. The datasets are free for research and educational purposes
only and can be used in scientific publications at the condition of
respecting the requested citation acknowledgment.
Because
the accuracy of target tracking algorithms is highly data dependent, they
need be evaluated with large test corpora containing significant
statistical data variability. Current test sets used for target tracking
evaluation are generally composed of a limited number of data items. This
limitation is due to two main reasons: (i) the generation of ground-truth
data is a highly time-consuming and tedious task and (ii) audiovisual
data involving people and their properties (e.g., vehicles) are not
easily distributed due to privacy issues. To complement the existing
datasets (links at the bottom of this page), this page distributes
additional data and their associated ground-truth.
If you
want to contribute to this dataset, please contact us at info@spevi.org
Audiovisual
people dataset
This
is a dataset for uni-modal and multi-modal (audio and visual) people
detection tracking. The dataset consists of three sequences recorded in
different scenarios with a video camera and a two microphones. Two
sequences (motinas_Room160 and motinas_Room105) are recorded in rooms
with reverberations. The third sequence (motinas_Chamber) is recorded in
a room with reduced reverberations.
Sensor
details
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The camera is placed in the centre of a bar that supports two microphones
- Distance between the microphones: 95 cm
- Microphones: Beyerdynamic MCE 530 condenser microphones
- Camera: KOBI KF-31CD analog CCD surveillance camera
Sample frames
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motinas_Room160
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motinas_Room105
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motinas_Chamber
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Data details
- Location
of recording: Department of Electronic Engineering - Queen Mary,
University of London
- Number of sequences: 3
- Total number of images: 3271
- Format of images: 8-bit color AVI
- Image size: 360 x 288 pixels
- Video sampling rate: 25 Hz
- Audio sampling rate: 44.1 kHz
Ground truth
The
ground truth data are provided together with the sequences in the
corresponding .zip file, as list of XML files representing the positions
of the objects in the field of view.
Requested citation
acknowledgment
Courtesy of
EPSRC funded MOTINAS project (EP/D033772/1)
Point
of contact
Murtaza
Taj, murtaza.taj[at]elec.qmul.ac.uk
Download
To
download this dataset click here
Single
face dataset
This
is a dataset for single person/face visual detection and tracking. The
dataset is composed of five sequences with different illumination
conditions and resolutions. Three sequences (motinas_toni, motinas_toni_change_ill
and motinas_nikola_dark)
are shot with a hand held camera (JVC GR-20EK). In motinas_toni the
target moves under a constant bright illumination; in motinas_toni_change_ill
the illumination changes from dark to bright; the sequence motinas_nikola_dark
is constantly dark. Two sequences (motinas_emilio_webcam
and motinas_emilio_webcam_turning)
are shot with a webcam (Logitech Quickcam) under a
fairly constant illumination.
Sample
frames
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motinas_toni
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motinas_toni_change_ill
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motinas_nikola_dark
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motinas_emilio_webcam
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motinas_emilio_webcam_turning
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Sensor details
- video
camera: JVC GR-20EK and Logitech Quickcam
Data
details
-
Location of recording: Department of Electronic Engineering - Queen Mary,
University of London
- Number of sequences: 5
- Total number of images: 3018
- Format of images: DivX 6 compression
- Image size and sampling rate: 640 x 480 pixels, 25 Hz (motinas_toni,
motinas_toni_change_ill,
motinas_nikola_dark)
- Image size and sampling rate: 320 x 240 pixels, 10 Hz (motinas_emilio_webcam
and motinas_emilio_webcam_turning)
Target
initialization
The
target initialization parameters (the parameters of an ellipse around the
face) are provided in the .zip files together with the sequences.
Ground
truth
The
ground truth data is available in the .zip files for the sequences motinas_toni
and motinas_emilio_webcam.
In the ground truth files each line of text describes the objects'
position and size in a frame. The syntax of a line is the following:
frame number_of_objects obj_1_name x y
half_width half_height angle obj_2_name x
y half_width half_height angle ...
Example: first line of a ground truth file in the single object
case: 1 1 man 172 77 29
36 -5
Requested citation
acknowledgment
E. Maggio,
A. Cavallaro, "Hybrid particle filter and mean shift tracker with
adaptive transition model", in Proc. of IEEE Int. Conference on
Acoustics, Speech and Signal Processing (ICASSP 2005), Philadelphia,
19-23 March 2005, pp. 221 - 224.
Point
of contact
Emilio
Maggio, emilio.maggio[at]elec.qmul.ac.uk
Download
To
download this dataset click here
Multiple
faces dataset
This
is a dataset for multiple people/faces visual detection and tracking. The
dataset is composed of 3 sequences (same scenario); 4 targets repeatedly
occlude each other while appearing and disappearing from the field of
view of the camera. The sequence motinas_multi_face_frontal shows
frontal faces only; in motinas_multi_face_turning
the faces are frontal and rotated; in motinas_multi_face_fast
the targets move faster that in the previous two sequences.
Sample
frames
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motinas_multi_face_frontal
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motinas_multi_face_turning
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motinas_multi_face_fast
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Sensor
details
-
video camera: JVC GR-20EK
Data
details
-
Location of recording: Department of Electronic Engineering - Queen Mary,
University of London
- Number of sequences:3
- Total number of images: 2769
- Format of images: DivX
6 compression
- Image size: 640 x 480 pixels
- Sampling rate: 25 Hz
Target
initialization
The
target initialization parameters (the parameters of an ellipse around the
face) are provided in the .zip files together with the sequences.
Requested
citation acknowledgment
E.
Maggio, E. Piccardo, C. Regazzoni, A. Cavallaro. "Particle PHD
filter for multi-target visual tracking", in Proc. of IEEE
International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2007), Honolulu (USA), April 15-20, 2007
Point
of contact
Emilio
Maggio, emilio.maggio[at]elec.qmul.ac.uk
Download
To
download this dataset click here
"i-Lids (AVSS
2007)" bag and vehicle detection challenge
This is a dataset for event detection in CCTV footage and is a sub-set of
the i-Lids
dataset. The events of interest appearing in the dataset are abandoned
baggage (Task 1) and parked vehicle (Task 2). The description
of the tasks can be found here. Please
refer to the description of the i-Lids bag and vehicle
detection challenge for the submission procedure.
Data details
- Location
of recording: various locations in the UK
- Number of sequences: 7
- Total number of images: 35000
- Format of images: 8-bit color MOV
- Image size: 720 x 576 pixels
- Video sampling rate: 25 Hz
Ground truth
To
download the ground truth data click here
Requested citation
acknowledgment
i-Lids dataset for AVSS 2007
Download
To
download this dataset click here
The
"i-Lids (AVSS 2007)" Evaluation dataset can be found here
Annotation
Tool
ViPER
Other
datasets
Name: cVSG Dataset
Description: The Chroma Video Segmentation Ground Truth
(cVSG) is a corpus of video sequences and segmentation masks. Chroma
based techniques were used to first acquire foregrounds and backgrounds
separately and then combined to form video sequences. Sequences have been
selected to ensure different complexities.
Download: http://www-vpu.ii.uam.es/CVSG/
Name
OTCBVS
Dataset
Description Videos and images recorded in and beyond the visible
spectrum (faces and people)
Download http://www.cse.ohio-state.edu/otcbvs-bench/
Name
PETS
2001 Dataset
Description Two view-monitoring of a campus site (people and
vehicles)
Download http://www.cvg.cs.rdg.ac.uk/cgi-bin/PETSMETRICS/page.cgi?dataset
Name
PETS
2006 Dataset
Description Person and baggage detection in a train station
Download http://www.cvg.rdg.ac.uk/PETS2006/data.html
Name
VIVID
PETS 2005 Dataset
Description Aerial footage (vehicles)
Download http://www.vividevaluation.ri.cmu.edu/datasets/datasets.html
Name
AMI
Corpora
Description Meeting room scenarios, with two people sitting around
meeting tables
Download http://corpus.amiproject.org/amicorpus/download/download
Name: PETS 2000
Description: Outdoor people and vehicle tracking (single camera)
Download: ftp://ftp.pets.rdg.ac.uk/pub/PETS2000/
Name:
PETS
2002
Description: Moving People
Download: http://www.cvg.cs.rdg.ac.uk/PETS2002/pets2002-db.html
Name:
VS
- PETS 2003 – INMOVE
Description: Outdoor people tracking - football data (three
synchronised views)
Download: http://www.cvg.cs.rdg.ac.uk/VSPETS/vspets-db.html
Name:
PETS
- ECCV 2004 – CAVIAR
Description: A number of video clips were recorded acting out the
different scenarios of interest. These include people walking alone,
meeting with others, window shopping, fighting and passing out and
abandoned luggage
Download: http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/
Name: PETS 2007 Benchmark Data
Description: Multi-sensor sequences containing
scenarios like: loitering; attended luggage removal (theft); unattended
luggage with increasing scene complexity
Download: http://www.cvg.rdg.ac.uk/PETS2007/data.html
Name:
VISOR
Dataset
Description: Multicamera outdoors and indoors scenarios
Download: http://imagelab.ing.unimore.it/visor/video_categories.asp
Name:
NGSIM
Description: detailed vehicle trajectory data on parts of highways
Download: http://ngsim.fhwa.dot.gov/modules.php?op=modload&name=News&file=article&sid=4
Name: ETISEO Dataset
Description: Database of 8-view video sequences
representative of various complexity levels
Download: http://www-sop.inria.fr/orion/ETISEO/download.htm
Name:
IBM
Description: 4 outdoor (from PETS2001) of people and vehicles and 11
indoor clips of people.
Download: http://domino.research.ibm.com/comm/research_projects.nsf/pages/s3.performanceevaluation.html
Name:
CANDELA
Description: "Indoor abandoned object" and "road
intersection"
Download: http://www.multitel.be/~va/candela/
Name:
Traffic
datasets
Description: Traffic databases
Download: http://i21www.ira.uka.de/image_sequences/
Name:
WAMOP-PETS'2005
Description: Scenes on water.
Download: http://www.vast.uccs.edu/~tboult/PETS05/
Name:
DaimlerChrysler
Pedestrian Classification Benchmark Dataset
Description: Collection of pedestrian and non-pedestrian images.
Download: http://www.gavrila.net/Computer_Vision/Research/Pedestrian_Detection/DC_Pedestrian_Class__Benchmark/dc_pedestrian_class__benchmark.html
Name: PETS-ICVS'2003
– Fgnet
Description: Smart meeting, that includes facial expressions, gaze
and gesture/action.
Download: http://www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html
Name
ViHASi
dataset
Description Virtual Human Action Silhouette Data
Download http://dipersec.king.ac.uk/VIHASI/
Name
MuHAVi
dataset
Description Multicamera Human Action Video Data
Download http://dipersec.king.ac.uk/MuHAVi-MAS/
Name:
PLIA2
Description:
set
of common household activities during the four-hour period using a set of
instructions
Download: http://architecture.mit.edu/house_n/data/PlaceLab/PLIA2.htm
Name:
KTH
data set
Description: six types of human actions (walking, jogging,
running, boxing, hand waving and hand clapping) performed several times
by 25 subjects in four different scenarios
Download: http://www.nada.kth.se/cvap/actions/
Name:
Weizmann dataset
Description: actions as walk, run, rump, gallop sideways, bend,
one-hand wave, two-hands wave, jump in place, jumping Jack, skip
Download: http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
Name: FRGC dataset
Description:
The FRGC database is a collection of Biometric images with both 2D and 3D
information. It has 50,000 recordings divided into training and
validation partitions
Download: http://face.nist.gov/frgc/
Name: 3D_RMA
Description: This database has been acquired in the framework of
the M2VTS project and contains 6 3D
scans of 120 individuals
Download: http://www.sic.rma.ac.be/~beumier/DB/3d_rma.html
Name: GavabDB: face database
Description: GavabDB is a 3D face database. It contains 549 three-dimensional
images of facial surfaces. These meshes correspond to 61 different
individuals (45 male and 16 female) having 9 images for each person.
Download: http://gavab.escet.urjc.es/recursos_en.html
Name: IPPR Contest
motion segmentation dataset
Description:
Download: http://media.ee.ntu.edu.tw/Archer_contest/
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