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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20490

Title: PSO-particle filter-based length estimation in human tracking
Authors: Zhenyuan, Xu
Watada, Junzo
???metadata.dc.contributor.url???: xzyzx05@moegi.waseda.jp
Keywords: Height surveying;Human tracking;Accuracy;Particle filter
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: Today, high quality results are expected of security and surveillance systems. These systems must not only track the real sizes and motions of humans, but also, in some situations, they must track features such as width and length. Few methods have been proposed for height surveying. Some studies show that an infrared ray technique can survey the height of a human, but the equipment required is complicated. The objective of this paper is to build a mathematical model and method for human tracking to solve the problem of length surveying. This human tracking method can mark humans’ and objects’ size in a picture so that, if we put this picture in a frame of axes, we can calculate the human’s/object’s height or other lengths. To obtain more accurate results for height surveying, we need a tracking method that can show more exact results. Combining tracking/detecting methods with a pso-particle filter will show a result with great accuracy in human tracking.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/20490
Appears in Collections:Conference Papers

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