INTELLIGENT VISUAL SURVEILLANCE : ROBUST PERSON AND VEHICLE TRACKING FOR INTELLIGENT VISUAL SURVEILLANCE

ISBN-13: 9783639169355 / Angielski / Miękka / 2009 / 112 str.

Suyu Kong

Opis

In this book, we describe the proposed pedestrian classification and tracking system that isable to track and label multiple people in an outdoor environment such as a railway station. Wepropose an approach that combines blob matching with particle filtering to track multiple peoplein the scene, i.e., the proposed method selects the successful features of blob matching and particlefiltering for tracking. In addition, anovel appearance model derived from the colour information from both the moving regions and theoriginal input colour image is proposed to track people in the event of poor foreground extraction.Additionally, the proposed appearance model also includes spatial information of the humanbody in both vertical and horizontal directions, making location more accurate. Furthermore, a novel method to extract cars from moving regions including shadow area, basedon shape and colour information, is proposed. Chamfer template matching score, and non-shadowregion edge score, are applied as the shape information; while the shadow confidence score(SCS) is used as the colour information.

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O autorze

Suyu Kong received his Master of Philosophy degree in compute
science from the University
of Queensland. During his postgraduate period, he received the
scholarship from National ICT, Australia(NICTA) and also worked
there as a reserch student. His papers about people tracking for
visual surveillance have been accepted by AVSS and ICPR.