Video-base people counting and gender recognition

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

Volumn 7332 LNCS, Issue PART 2, 2012, Pages 228-235

  Wong, Yuen Sum ^a   Tam, Cho Wing ^a   Lee, Siu Mo ^a   Chan, Chuen Pan ^a   Fu, Hong ^a  

^a CHU HAI COLLEGE OF HIGHER EDUCATION   (Hong Kong)

Author keywords

gender recognition; people counting; video understanding

Indexed keywords

BACK-PROPAGATION TRAINING ALGORITHMS; GENDER RECOGNITION; MULTI LAYER PERCEPTRON; NEURAL NETWORK METHOD; PEOPLE COUNTING; VIDEO UNDERSTANDING;

NEURAL NETWORKS;

SOCIAL SCIENCES;

EID: 84875105135     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31020-1_27     Document Type: Conference Paper

References (5)

1. Lefloch, D.: Real-Time People Counting system using Video Camera, Master thesis, Department of Computer Science and Media Technology Gjovik University College (2007)
2. Segen, J., Pingali, S.: A camera-based system for tracking people in real time. In: IEEE Proceeding of the International Conference on Pattern Recognition, vol. 3, pp. 63-67 (1996)
3. Masoud, O., Papanikolopoulos, N.P.: A novel method for tracking and counting pedestrians in real-time using a single camera. IEEE Trans. on Vehicular Tech. 50, 1267-1278 (2001)
4. Rossi, M., Bozzoli, A.: Tracking and Counting Moving People. In: IEEE Proceeding of the International Conference on Image Processing, vol. 3, pp. 212-216 (1994)
5. Cao, L., Dikmen, M., Fu, Y., Huang, T.S.: Gender Recognition from Body. In: Proceedings of the 16th International Conference on Multimedia, MM 2008. ACM, New York (2008)