References
[1]. Beleznai, C., Fruhstuck, B., & Bischof, H. (2004).
Human detection in groups using a fast mean shift
procedure. In Image Processing, 2004. ICIP'04. 2004
International Conference on (Vol. 1, pp. 349-352). IEEE.
[2]. Cutler, R., & Davis, L. S. (2000). Robust real-time
periodic motion detection, analysis, and applications.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 22(8), 781-796.
[3]. Dalal, N., & Triggs, B. (2005). Histograms of oriented
gradients for human detection. In Computer Vision and
Pattern Recognition, 2005. CVPR 2005. IEEE Computer
Society Conference on (Vol. 1, pp. 886-893). IEEE.
[4]. Elzein, H., Lakshmanan, S., & Watta, P. (2003). A
motion and shape-based pedestrian detection
algorithm. In Intelligent Vehicles Symposium, 2003.
Proceedings. IEEE (pp. 500-504). IEEE.
[5]. Eng, H. L., Wang, J., Kam, A. H., & Yau, W. Y. (2004). A
bayesian framework for robust human detection and
occlusion handling human shape model. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17
International Conference on (Vol. 2, pp. 257-260). IEEE.
[6]. Gavrila, D. M., & Giebel, J. (2002). Shape-based
pedestrian detection and tracking. In Intelligent Vehicle
Symposium, 2002. IEEE (Vol. 1, pp. 8-14). IEEE.
[7]. Haga, T., Sumi, K., & Yagi, Y. (2004). Human detection
in outdoor scene using spatio-temporal motion analysis.
In Pattern Recognition, 2004. ICPR 2004. Proceedings of
th the 17 International Conference on (Vol. 4, pp. 331-334).
IEEE.
[8]. Han, J., & Bhanu, B. (2003). Detecting moving
humans using color and infrared video. In Multisensor
Fusion and Integration for Intelligent Systems, MFI2003.
Proceedings of IEEE International Conference on (pp.
228-233). IEEE.
[9]. Jiang, L., Tian, F., Shen, L. E., Wu, S., Yao, S., Lu, Z., &
Xu, L. (2004, October). Perceptual-based fusion of ir and
visual images for human detection. In Intelligent
Multimedia, Video and Speech Processing, 2004.
Proceedings of 2004 International Symposium on (pp.
514-517). IEEE.
[10]. Lee, D. J., Zhan, P., Thomas, A., & Schoenberger, R. B.
(2004). Shape-based human detection for threat
assessment. In Visual Information Processing XIII (Vol.
5438, pp. 81-92). International Society for Optics and
Photonics.
[11]. Li, L., Ge, S. S., Sim, T., Koh, Y. T., & Hunag, X. (2004).
Object-oriented scale-adaptive filtering for human
detection from stereo images. In Cybernetics and
Intelligent Systems, 2004 IEEE Conference on (Vol. 1, pp.
135-140). IEEE.
[12]. Ogale, N. A. (2006). A survey of techniques for
human detection from video. Survey, University of
Maryland, 125(133), 19.
[13]. Sidenbladh, H. (2004). Detecting human motion
with support vector machines. In Pattern Recognition,
th 2004. ICPR 2004. Proceedings of the 17 International
Conference on (Vol. 2, pp. 188-191). IEEE.
[14]. Toth, D., & Aach, T. (2003). Detection and
recognition of moving objects using statistical motion
detection and Fourier descriptors. In Image Analysis and
th Processing, 2003. Proceedings. 12 International
Conference on (pp. 430-435). IEEE.
[15]. Utsumi, A., & Tetsutani, N. (2002). Human detection
using geometrical pixel value structures. In Automatic
Face and Gesture Recognition, 2002. Proceedings. Fifth
IEEE International Conference on (pp. 39-44). IEEE.
[16]. Viola, P., Jones, M. J., & Snow, D. (2003). Detecting
pedestrians using patterns of motion and appearance. In
null (p. 734-741). IEEE.
[17]. Wren, C. R., Azarbayejani, A., Darrell, T., & Pentland,
A. P. (1997). Pfinder: Real-time tracking of the human
body. IEEE Transactions on Pattern Analysis and Machine
Intelligence, 19(7), 780-785.
[18]. Xu, F., & Fujimura, K. (2003). Human detection using
depth and gray images. In Advanced Video and Signal
Based Surveillance, 2003. Proceedings. IEEE Conference
on (pp. 115-121). IEEE.
[19]. Yoon, S. M., & Kim, H. (2004). Real-time multiple
people detection using skin color, motion and
appearance information. In Robot and Human
th Interactive Communication, 2004. ROMAN 2004. 13
IEEE International Workshop on (pp. 331-334). IEEE.
[20]. Zhou, J., & Hoang, J. (2005). Real time robust human
detection and tracking system. In Computer Vision and
Pattern Recognition-Workshops, 2005. CVPR Workshops.
IEEE Computer Society Conference on (pp. 149-149).
IEEE.
