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

Suyu Kong

ISBN 10: 3639169352 / ISBN 13: 9783639169355

Published by VDM Verlag Dr. Müller, 2009

About this Item

INTELLIGENT VISUAL SURVEILLANCE | ROBUST PERSON AND VEHICLE TRACKING FOR INTELLIGENT VISUAL SURVEILLANCE | Suyu Kong | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639169355 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101546290

Bibliographic Details

• Title: INTELLIGENT VISUAL SURVEILLANCE | ROBUST PERSON AND VEHICLE TRACKING FOR INTELLIGENT VISUAL SURVEILLANCE
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639169352
• ISBN 13: 9783639169355
• Binding: Taschenbuch
• Condition: Neu
• Seller catalogs:
  • Bücher

About this title

Synopsis

In this book, we describe the proposed pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. We propose an approach that combines blob matching with particle filtering to track multiple people in the scene, i.e., the proposed method selects the successful features of blob matching and particle filtering for tracking. In addition, a novel 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 human body in both vertical and horizontal directions, making location more accurate. Furthermore, a novel method to extract cars from moving regions including shadow area, based on shape and colour information, is proposed. Chamfer template matching score, and non-shadow region edge score, are applied as the shape information; while the shadow confidence score (SCS) is used as the colour information.

About the Author

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.