Person re-identification using appearance classification

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

Volumn 6754 LNCS, Issue PART 2, 2011, Pages 170-179

  Aziz, Kheir Eddine ^a   Merad, Djamel ^a   Fertil, Bernard ^a  

^a AIX MARSEILLE UNIV   (France)

Author keywords

appearance classification; cross bin metric; head detection; head pose estimation; matching features; Person re identification

Indexed keywords

APPEARANCE CLASSIFICATION; CROSS-BIN METRIC; HEAD DETECTION; HEAD POSE ESTIMATION; MATCHING FEATURES; PERSON RE-IDENTIFICATION;

ALGORITHMS; BINS; IMAGE ANALYSIS; MOTION ESTIMATION;

IMAGE MATCHING;

EID: 79960311580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21596-4_18     Document Type: Conference Paper

References (15)

1. Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Speeded-up robust features (surf). In: Computer Vision and Image Understanding, vol. 110, pp. 346-359. Elsevier Science Inc., New York (2008)
2. Bird, N.D., Masoud, O.T., Papanikolopoulos, N.P., Isaacs, A.: Detection of loitering individuals in public transportation areas. IEEE Transactions on Intelligent Transportation Systems 6, 167-177 (2005)
3. Merad, D., Aziz, K.E., Thome, N.: Fast people counting using head detection from skeleton graph. In: IEEE Conference, Advanced Video and Signal Based Surveillance, Los Alamitos, USA, pp. 151-156 (2010)
4. Gheissari, N., Thomas, B.S., Hartley, R.: Person reidentification using spatiotemporal appearance. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, vol. 2, pp. 1528-1535 (2006)
5. Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 262-275. Springer, Heidelberg (2008)
6. Hamdoun, O., Moutarde, F., Stanciulescu, B., Steux, B.: Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. In: The third ACM/IEEE International Conference on Distributed Smart Cameras, pp. 1-6 (2008)
7. Javed, O., Shafique, K., Rasheed, Z., Shah, M.: Modeling inter-camera space-time and appearance relationships for tracking across nonoverlapping views. In: Comput. Vis. Image Underst., New York, USA, vol. 109, pp. 146-162 (2008)
8. Johnson, A.E., Hebert, M.: Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence 21, 433-449 (1999)
9. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91-110 (2004)
10. Lu, C.P., Hager, G.D., Mjolsness, E.: Fast and globally convergent pose estimation from video images. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(6), 610-622 (2000)
11. Nakajima, C., Pontil, M., Heisele, B., Poggio, T.: Full-body person recognition system. Pattern Recognition 36(9), 1997-2006 (2003)
12. Pele, O., Werman, M.: A linear time histogram metric for improved SIFT matching. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 495-508. Springer, Heidelberg (2008)
13. Rubner, Y., Tomasi, C., Guibas, L.G.: The earth movers distance as a metric for image retrieval. Int. International Journal of Computer Vision 40, 99-121 (2000)
14. Schwartz, W.R., Davis, L.S.: Learning discriminative appearancebased models using partial least squares. In: Computer Graphics and Image Processing, Brazilian Symposium, Los Alamitos, USA, pp. 322-329 (2009)
15. Zheng, W., Davis, L., Xiang, T.: Associating groups of people. In: British Machine Vision Conference, pp. 1-6 (2009)