File Download
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Automated people counting using template matching and head search
Title | Automated people counting using template matching and head search |
---|---|
Authors | |
Keywords | Automated people counting Real-time image processing Template matching |
Issue Date | 2002 |
Publisher | IEEE. |
Citation | The 9th IEEE Conference on Mechatronics and Machine Vision in Practice, Chiang Mai, Thailand, 10-12 September 2002, p. 323-331 How to Cite? |
Abstract | People counting using image processing has been carried out for years. Conventional methods can count people accurately when only a few isolated people pass through a counting region in a non-crowded situation. In this paper, the emphasis is on people counting in a crowded environment and a method using head search and model matching is described. A camera is mounted vertically downwards viewing the people heads from the top. People head search can be used to locate some passengers. In addition, templates obtained from the perspective projection of the human model are used to locate and isolate individual person. Our approach cams at dealing with a congested situation where occlusion is a major problem. This paper describes a real-time, high-accuracy, automated people counting system that has been developed. Experimental results are illustrated and the effectiveness of the developed method for real-time application is verified. |
Persistent Identifier | http://hdl.handle.net/10722/48463 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pang, GKH | en_HK |
dc.contributor.author | Ng, CK | en_HK |
dc.date.accessioned | 2008-05-22T04:13:50Z | - |
dc.date.available | 2008-05-22T04:13:50Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.citation | The 9th IEEE Conference on Mechatronics and Machine Vision in Practice, Chiang Mai, Thailand, 10-12 September 2002, p. 323-331 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/48463 | - |
dc.description.abstract | People counting using image processing has been carried out for years. Conventional methods can count people accurately when only a few isolated people pass through a counting region in a non-crowded situation. In this paper, the emphasis is on people counting in a crowded environment and a method using head search and model matching is described. A camera is mounted vertically downwards viewing the people heads from the top. People head search can be used to locate some passengers. In addition, templates obtained from the perspective projection of the human model are used to locate and isolate individual person. Our approach cams at dealing with a congested situation where occlusion is a major problem. This paper describes a real-time, high-accuracy, automated people counting system that has been developed. Experimental results are illustrated and the effectiveness of the developed method for real-time application is verified. | en_HK |
dc.format.extent | 4564403 bytes | - |
dc.format.extent | 4353 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IEEE Conference on Mechatronics and Machine Vision in Practice | - |
dc.rights | ©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_HK |
dc.subject | Automated people counting | en_HK |
dc.subject | Real-time image processing | en_HK |
dc.subject | Template matching | en_HK |
dc.title | Automated people counting using template matching and head search | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Pang, GKH: gpang@eee.hku.hk | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.hkuros | 82760 | - |