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Title:
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REMOTE HEAD COUNTING AND TRACKING IN CROWDED SCENE VIA WWW/INTERNET |
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Author(s):
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Hsin Chia Fu , Jian-rong Chen , Hsiao T. Pao |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V II, 2 |
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Keywords:
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Overhead-view images, head detection, head-top counting, moving head-top tracking, gray-level gradient |
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Type:
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Short Paper |
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First Page:
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213 |
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Last Page:
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216 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Using image analyzing techniques to automate crowd control can save manpower usage and reduce human mistakes due
to careless negligence. Due to the occlusion between front and backward objects, accurate head counting on frontal view
type images may be a very difficult task. In this paper, we propose to use a gray-level gradient technique on overheadview
images for head-top counting and tracking in a crowded scene. The experiment results show that for both sparse and
crowded situations, the proposed method can achieve 91% to 94% of correct counting rates. |
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