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Images and video processing laboratory

Litiv Datasets

PTZ Tracking | Thermal-visible registration | Single object tracking

PTZ Tracking

Chen et al. PTZ evaluation framework, ICIP 2015

For reproducible evaluation of tracking with a simulated PTZ camera.

PTZ camera simulator and Tracking evaluation framework C++ code and Spherical panoramic videos with annotations for single object tracking evaluation

Download link

Requested Citation Acknowledgment:

Chen, G., St-Charles, P.-L., Bouachir, W., Bilodeau, G.-A., Bergevin, R., Reproducible Evaluation of Pan-Tilt-Zoom Tracking, IEEE International Conference on Image Processing (ICIP 2015), Quebec, QC, Canada, September 27-30, 2015


Thermal-visible registration

Bilodeau et al. dataset, Infrared Physics & Technology, 2014

For registering infrared and visible people appearing at different planes.

Sample frames

(Vid2, cut2, 3 persons)

IR Visible

 

Original rectified frames

IR frame 246 visible frame 246
Foreground frames IR foreground frame 246 Visible foreground frame 246

Dataset and ground-truth download link (117 MB)

Requested Citation Acknowledgment:

Bilodeau, G.-A., Torabi, A., St-Charles, P.-L., Riahi, D., Thermal-Visible Registration of Human Silhouettes: a Similarity Measure Performance Evaluation, Infrared Physics & Technology, Vol. 64, May 2014, p. 79-86


Torabi et al. dataset, CVIU, 2012 / St-Charles et al. CVPRW 2015

For infrared - visible image registration

Important note: St-Charles et al. CVPRW 2015 paper added ground-truth polygons to facilitate evaluation. Ground-truth matrices and videos are the same as the Torabi et al. CVIU 2012 paper.

Sample frames

(Sequence 1)

Visible Thermal IR

 

Original rectified frames

Visible image Thermal image

Dataset and ground-truth download link (100 MB)

Requested Citation Acknowledgment:

Torabi, A., Massé, G., Bilodeau, G.-A, An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications, Computer Vision and Image Understanding, Vol. 116, Issue 2, 2012, pp. 210-221 

and if you use the polygons:

St-Charles, P.-L., Bilodeau, G.-A., Bergevin, R., Online Multimodal Video Registration Based on Shape Matching, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), Boston, MA, USA, June 7-12, 2015


Single object tracking

Bouachir et al. dataset, WACV 2014

For object tracking. Includes occlusion and many distractors. With ground-truth.

   Sample frames  Description
wbook wbook The target face is occluded partially by a book several times
wdesk wdesk The target face hides partially behind a desk
jp1 jp1 The target face of the person with the t-shirt Leonardo is occluded by other faces
jp2 jp2 The target face of the person with the t-shirt Leonardo is occluded by other people passing in front

Dataset and ground-truth download link (30 MB)

Requested Citation Acknowledgment:

Bouachir, W., Bilodeau, G.-A., Collaborative part-based tracking using salient predictors, Computer Vision and Image Understanding, Vol. 137, August 2015, pp. 88-101


 

 

 

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