Human Tracking: A State-of-Art Survey

被引：0

作者：

Watada, Junzo ^{[1
]}

Musa, Zalili ^{[2
]}

Jain, Lakhmi C. ^{[3
]}

Fulcher, John ^{[4
]}

机构：

[1] Waseda Univ, Tokyo, Japan

[2] Univ Malaysia Pahang, Pahang, Malaysia

[3] Univ South Australia, Adelaide, SA, Australia

[4] Univ Wollongong, Wollongong, NSW 2522, Australia

来源：

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II | 2010年 / 6277卷

关键词：

Video tracking; Human tracking; Object tracking; MEAN SHIFT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.

引用

页码：454 / +

页数：4

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