SARC3D: A new 3D body model for people tracking and re-identification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6978 LNCS, Issue PART 1, 2011, Pages 197-206

  Baltieri, Davide ^a   Vezzani, Roberto ^a   Cucchiara, Rita ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

3D human model; People Re identification

Indexed keywords

BENCHMARK SUITES; BODY MODELS; CALIBRATED CAMERAS; COLOR FEATURES; DATA SETS; EXPERIMENTAL EVALUATION; HUMAN MODEL; PARTIAL OCCLUSIONS; PEOPLE RE-IDENTIFICATION; PEOPLE TRACKING; SURVEILLANCE APPLICATIONS; 3D HUMAN MODELING; PEOPLE RE IDENTIFICATIONS; POSITION AND ORIENTATIONS; RE IDENTIFICATIONS;

COLOR MATCHING; IMAGE ANALYSIS; THREE DIMENSIONAL COMPUTER GRAPHICS; 3D MODELING;

THREE DIMENSIONAL; THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 80052990806     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24085-0_21     Document Type: Conference Paper

References (14)

1. Viswanathan, G.M., Raposo, E.P., da Luz, M.: Lévy flights and superdiffusion in the context of biological encounters and random searches. Physics of Life Rev 5(3), 133-150 (2008)
2. Javed, O., Shafique, K., Rasheed, Z., Shah, M.: Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views. Computer Vision and Image Understanding 109, 146-162 (2008)
3. Makris, D., Ellis, T., Black, J.: Bridging the gaps between cameras. In: Proc. of CVPR, pp. 205-210 (2004)
4. Vezzani, R., Baltieri, D., Cucchiara, R.: Pathnodes integration of standalone particle filters for people tracking on distributed surveillance systems. In: Proc. of ICIAP, Vietri sul Mare, Italy (2009)
5. Gray, D., Brennan, S., Tao, H.: Evaluating Appearance Models for Recognition, Reacquisition, and Tracking. In: Proc. of PETS 2007 (2007)
6. Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person reidentification by symmetry-driven accumulation of local features. In: Proc. of CVPR, pp. 2360-2367 (2010)
7. Alahi, A., Vandergheynst, P., Bierlaire, M., Kunt, M.: Cascade of descriptors to detect and track objects across any network of cameras. Computer Vision and Image Understanding 114, 624-640 (2010)
8. Gandhi, T., Trivedi, M.: Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification. In: Proc. of AVSS, pp. 78-78 (2006)
9. Andriluka, M., Roth, S., Schiele, B.: Monocular 3d pose estimation and tracking by detection. In: Proc. of CVPR, pp. 623-630 (2010)
10. Colombo, C., Del Bimbo, A., Valli, A.: A real-time full body tracking and humanoid animation system. Parallel Comput. 34, 718-726 (2008)
11. Baltieri, D., Vezzani, R., Cucchiara, R.: 3D body model construction and matching for real time people re-identification. In: Proc. of Eurographics Italian Chapter Conference (EG-IT 2010), Genova, Italy (2010)
12. Vezzani, R., Grana, C., Cucchiara, R.: Probabilistic people tracking with appearance models and occlusion classification: The ad-hoc system. Pattern Recognition Letters 32, 867-877 (2011)
13. PETS: Dataset - Performance Evaluation of Tracking and Surveillance (2009)
14. Vezzani, R., Cucchiara, R.: Event driven software architecture for multi-camera and distributed surveillance research systems. In: Proceedings of the First IEEE Workshop on Camera Networks - CVPRW, San Francisco, pp. 1-8 (2010)