A. Alahi, L. Jacques, Y. Boursier, P. Vandergheynst, Sparsity-driven people localization algorithm: evaluation in crowded scenes environment, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[2]
A. Albiol, M.J. Sila, A. Albiol, J.M. Mossi, Video analysis using corners motion analysis, in: Proc. IEEE 11th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009, pp. 31–27, ISBN 978-07049-1501-4.
[3]
D. Arsic, A. Lyutskanov, G. Rigoll, B. Kwolek, Multi camera person tracking applying a graph-cuts based foreground segmentation in a homography framework, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[4]
J. Badie, S. Bak, S.T. Serban, F. Bremond, Recovering people tracking errors using enhanced covariance-based signatures, in: Proc. IEEE 9th Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), 2012, pp. 487–493, http://dx.doi.org/10.1109/AVSS.2012.90.
[5]
J. Berclaz, F. Fleuret, P. Fua, Multiple object tracking using flow linear programming, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[6]
D. Bolme, Y.M. Lui, B. Draper, J. Beveridge, Simple real-time human detection using a single correlation filter, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[7]
M.D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, L. van Gool, Markovian tracking-by-detection from a single, uncalibrated camera, in: Proc. IEEE 11th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009, pp. 71–78, ISBN 978-07049-1501-4.
[8]
EC Funded CAVIAR project/IST 2001 37540: context aware vision using image based active recognition, <http://homepages.inf.ed.ac.uk/rbf/CAVIAR> (last accessed 01/03/2013).
[9]
A.B. Chan, M. Morrow, N. Vasconcelos, Analysis of crowded scenes using holistic properties, in: Proc. IEEE 11th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009, pp. 101–108, ISBN 978-07049-1501-4.
[10]
S. Choudri, J. Ferryman, A. Badii, Robust background model for pixel based people counting using a single uncalibrated camera, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[11]
D. Conte, P. Foggia, G. Percannella, M. Vento, Performance evaluation of a people tracking system on the PETS video database, in: Proc. IEEE Advanced Video and Signal Based Surveillance (AVSS), 2010, http://dx.doi.org/10.1109/AVSS.2010.86.
[12]
D. Conte, P. Foggio, G. Percannella, M. Vento, A method based on the indirect approach for counting people in crowded scenes, in: Proc. IEEE Advanced Video and Signal Based Surveillance (AVSS), 2010, pp. 111–118, http://dx.doi.org/10.1109/AVSS.2010.86.
[13]
V. Eiselein, T. Senst, A motion-enhanced hybrid probability hypothesis density filter for real-time multi-human tracking in video surveillance, in: Proc. 15th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2013, pp. 6–13, http://dx.doi.org/10.1109/PETS.2013.6523789.
[14]
M. Enzweiler, D.M. Gavrila
Monocular pedestrian detection: survey and experiments
IEEE Trans. Pattern Anal. Mach. Intell., 31 (12) (2009), pp. 2179–2195
View Record in Scopus | Full Text via CrossRef | Cited By in Scopus (307)
[15]
P. Foggia, G. Percannella, A. Saggese, M. Vento, Real-time tracking of single people and groups simultaneously by contextual graph-based reasoning dealing complex occlusions, in: Proc. 15th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2013, pp. 29–36, http://dx.doi.org/10.1109/PETS.2013.6523792.
[16]
W. Ge, R. Collins, Evaluation of sampling-based pedestrian detection for crowd counting, in: Proc. IEEE 12th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009, pp. 1–8, http://dx.doi.org/10.1109/PETS-WINTER.2009.5399487.
[17]
A. Heili, J.-M. Odobez, Parameter estimation and contextual adaption for multi-object tracking CRF model, in: Proc. 15th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2013, pp. 14–21, http://dx.doi.org/10.1109/PETS.2013.6523790.
[18]
M. Hofmann, M. Haag, G. Rigoll, Unified hierarchical multi-object tracking using global data association, in: Proc. 15th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2013, pp. 22–28, http://dx.doi.org/10.1109/PETS.2013.6523791.
[19]
R. Hossein, S. Velastin, P. Remagnino, T. Ellis, Vihasi: virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods, in: Proc. Second ACM/IEEE Intl Conf. Distributed Smart Cameras, 2008, p. 110, http://dx.doi.org/10.1109/ICDSC.2008.4635730.
[20]
Imagery Library for Intelligent Detection Systems, <http://www.ilids.co.uk> (last accessed: 29 January, 2012).
[21]
R. Kasturi, D. Goldgof, P. Soundararajan, V. Manohar, J. Garofolo, R. Bowers, M. Boonstra, V. Korzhova, J. Zhang
Framework for performance evaluation of face, text, and vehicle detection and tracking in video: data, metrics, and protocol
IEEE Trans. Pattern Anal. Mach. Intell., 31 (2) (2009), pp. 319–336
View Record in Scopus | Full Text via CrossRef | Cited By in Scopus (118)
[22]
P. Morerio, L. Marcenaro, C.S. Regazzoni, People count estimation in small crowds, in: Proc. IEEE Advanced Video and Signal Based Surveillance (AVSS), 2012, pp. 476–480, http://dx.doi.org/10.1109/AVSS.2012.88.
[23]
A.T. Nghiem, F. Bremond, M. Thonnat, V. Valentin, ETISEO, performance evaluation for video surveillance systems, in: Proc. IEEE Int. Conf. Advanced Video and Signal Based Surveillance, 2007, pp 476–481.
[24]
W. Nie, A. Liu, Y. Su, Multiple person tracking by spatiotemporal tracklet association, in: Proc. IEEE 9th Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), 2012, pp. 487–493, http://dx.doi.org/10.1109/AVSS.2012.89.
[25]
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C-C. Chen, J.T. Lee, S. Mukherjee, J.K. Aggarwal, H. Lee, L. Davis, E. Swears, X. Wang, Q. Ji, K. Reddy, M. Shah, C. Vondrick, H. Pirsiavash, D. Ramanan, J. Yuen, A. Torralba, B. Song, A. Fong, A. Roy-Chowdhury, M. Desai, A large-scale benchmark dataset for event recognition in surveillance video, in: Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2011, pp. 3153–3160, http://dx.doi.org/10.1109/CVPR.2011.5995586.
[26]
M. Paetzold, T. Sikora, Counting people in crowded environments by fusion of shape and motion information, in: Proc. IEEE Advanced Video and Signal Based Surveillance (AVSS), 2010, pp. 157–164, http://dx.doi.org/10.1109/AVSS.2010.92.
[27]
PETS2006, Ninth IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), New York, USA, June 18, 2006, ISBN 0-7049-1422-0.
[28]
PETS2007, Tenth IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), Rio De Janeiro, October 14, 2007, ISBN 0-7049-1423-9.
[29]
P.K. Sharma, C. Huang, R. Nevatia, Evaluation of people tracking, counting and density estimation in crowded environments, in: Proc. IEEE 11th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), pp. 39–46, ISBN 978-07049-1501-4.
[30]
S. Singh, S. Velastin, R. Hossein, Muhavi: a multicamera human action video dataset for the evaluation of action recognition methods, in: Proc. Seventh IEEE Intl Conf. Advanced Video and Signal Based Surveillance, 2010, http://dx.doi.org/10.1109/AVSS.2010.63.
[31]
V.B. Subburaman, A. Descamps, C. Carincotte, Counting people in the crowd using a generic head counter, in: Proc. IEEE 9th Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), 2012, pp. 470–475, http://dx.doi.org/10.1109/AVSS.2012.87.
[32]
<http://trecvid.nist.gov/> (last accessed: 01/03/2013).
[33]
T. Xu, P. Peng, X. Fang, C. Su, Y. Wang, Y. Tian, W. Zeng, T. Huang, Single and multiple view detection, tracking and video analysis in crowded environments, in: Proc. IEEE 9th Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), pp. 494–499, http://dx.doi.org/10.1109/AVSS.2012.91.
[34]
J. Yang, Z. Shi, Probabilistic multiple people tracking through complex situations, in: Proc. IEEE 11th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2009, pp. 79–86, ISBN 978-07049-1501-4.
[35]
A. Zweng, M. Kampel, Performance evaluation of an improved relational feature model for pedestrian detection, in Proc. 15th Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2013, pp. 53–60, http://dx.doi.org/10.1109/PETS.2013.6523795.