Detection of gait characteristics for scene registration in video surveillance system

作者：Havasi Laszlo^*; Szlavik Zoltan; Sziranyi Tamas

来源：IEEE Transactions on Image Processing, 2007, 16(2): 503-510.

DOI：10.1109/TIP.2006.88839

• image registration
• motion analysis
• object detection

This paper presents a robust walk-detection algorithm, based on our symmetry approach which can be used to extract gait characteristics from video-image sequences. To obtain a useful descriptor of a walking person, we temporally track the symmetries of a person's legs. Our method is suitable for use in indoor or outdoor surveillance scenes. Determining the leading leg of the walking subject is important, and the presented method can identify this from two successive walk steps (one walk cycle). We tested the accuracy of the presented walk-detection method in a possible application: Image registration methods are presented which are applicable to multicamera systems viewing human subjects in motion.

• 出版日期2007-2