Real-time and Simultaneous Recognition of Multiple Moving Objects Using Cubic Higher-order Local Auto-Correlation

Authors:
Yasuyuki Shimohata;Nobuyuki Otsu
Affiliations:
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, JAPAN, simohata@isi.imi.i.u-tokyo.ac.jp;National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, JAPAN, otsu.n@aist.go.jp
Venue:
SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
Year:
2008

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Real time recognition of pedestrian and vehicles from videos

Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology

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Abstract

Real-time recognition of moving objects is an important problem in video surveillance applications, ITS (Intelligent Transport Systems), robot vision and so on. In this paper, we propose a method to recognize multiple moving objects simultaneously by using Cubic Higher-order Local Auto-Correlation (CHLAC) features. To perform the recognition, we exploit the additivity property of CHLAC which allows us to express thefeature values as a linear coupling between the features of each object. The effectiveness of the method is verified by performing recognition and counting the number of pedestrians. We also show that our method can be robust to changes in object scale and speed.