A general method for appearance-based people search based on textual queries

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

Volumn 7583 LNCS, Issue PART 1, 2012, Pages 453-461

  Satta, Riccardo ^a   Fumera, Giorgio ^a   Roli, Fabio ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION;

APPEARANCE BASED; CLOTHING APPEARANCES; DESCRIPTORS; GENERAL METHOD; PEOPLE SEARCHES; PERSON RE IDENTIFICATIONS; RE IDENTIFICATIONS; SEARCH-BASED; TEXTUAL QUERY; VIDEO SEQUENCES;

COMPUTERS;

EID: 84867717212     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33863-2_45     Document Type: Conference Paper

References (11)

1. Doretto, G., Sebastian, T., Tu, P., Rittscher, J.: Appearance-based person reidentification in camera networks: problem overview and current approaches. Journal of Ambient Intelligence and Humanized Computing 2, 127-151 (2011)
2. Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. IEEE Transactions on Pattern Anallisys and Machine Intelligence 25, 1505-1518 (2003)
3. Vaquero, D., Feris, R., Tran, D., Brown, L., Hampapur, A., Turk, M.: Attribute-based people search in surveillance environments. In: IEEE Workshop on Applications of Computer Vision, WACV 2009 (2009)
4. Thornton, J., Baran-Gale, J., Butler, D., Chan, M., Zwahlen, H.: Person attribute search for large-area video surveillance. In: 2011 IEEE International Conference on Technologies for Homeland Security (HST), pp. 55-61 (2011)
5. Satta, R., Fumera, G., Roli, F.: Fast person re-identification based on dissimilarity representations. Pattern Recognition Letters, Special Issue on Novel Pattern Recognition-Based Methods for Reidentification in Biometric Context (in press, 2012)
6. Satta, R., Fumera, G., Roli, F., Cristani, M., Murino, V.: A Multiple Component Matching Framework for Person Re-identification. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011, Part II. LNCS, vol. 6979, pp. 140-149. Springer, Heidelberg (2011)
7. Pekalska, E., Duin, R.P.W.: The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence). World Scientific Publishing Co., Inc., River Edge (2005)
8. Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M.: Person re-identification by symmetry-driven accumulation of local features. In: Proc. of the 2010 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2360-2367 (2010)
9. Andriluka, M., Roth, S., Schiele, B.: Pictorial structures revisited: People detection and articulated pose estimation. In: Proc. of the 2009 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1014-1021 (2009)
10. Gray, D., Brennan, S., Tao, H.: Evaluating appearance models for recognition, reacquisition, and tracking. In: Proc. of the 10th IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), pp. 41-47 (2007)
11. Dietterich, T.G., Lathrop, R.H., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell. 89, 31-71 (1997)