A study on memory-based regression for spatial people density estimation

A study on memory-based regression for spatial people density estimation Yoshimune TABUCHI†, Tomokazu TAKAHASHI†, Daisuke DEGUCHI†, Ichiro IDE†, Hiroshi MURASE†, Takayuki KUROZUMI††, and Kunio KASHINO†† † Nagoya University Furo-cho, Chikusa-ku, Nagoya-shi, Aichi, 464-8601 Japan †† NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation 3-1, Morinosato-Wakamiya, Atsugi-shi, Kanagawa, 243-0198 Japan E-mail: †tabuchiy@murase.m.is.nagoya-u.ac.jp, †ttakahashi@gifu.shotoku.ac.jp, †ddeguchi@nagoya-u.jp, †{ide,murase}@is.nagoya-u.ac.jp, ††{kurozumi.takayuki,kashino.kunio}@lab.ntt.co.jp

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Kenji Terada,et al.  A method of counting the passing people by using the stereo images , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[3]  Mubarak Shah,et al.  Tracking across multiple cameras with disjoint views , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[4]  Tieniu Tan,et al.  Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection , 2008, 2008 19th International Conference on Pattern Recognition.

[5]  Nuno Vasconcelos,et al.  Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Mubarak Shah,et al.  Appearance modeling for tracking in multiple non-overlapping cameras , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[7]  Ramakant Nevatia,et al.  Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors , 2007, International Journal of Computer Vision.