Human and Bicycle Detection System Using Range Sensor

This paper presents a full-scale solution to the detection of the traffic data using laser device. Range images, gathered by a particular laser camera, are used in the multi-threshold segmentation. The multi-threshold segmentation is based on the height of the moving objects. In order to get the pre...

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Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2011-08, Vol.16 (4), p.447-451
Main Author: 吴韫 孔庆杰 刘中华 刘允才
Format: Article
Language:English
Subjects:
Algorithms
Architecture
Computer Science
Devices
Electrical Engineering
Engineering
Lasers
Life Sciences
Materials Science
Object recognition
Organizing
Segmentation
Tracking
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Summary:This paper presents a full-scale solution to the detection of the traffic data using laser device. Range images, gathered by a particular laser camera, are used in the multi-threshold segmentation. The multi-threshold segmentation is based on the height of the moving objects. In order to get the precise height of the moving objects, mapping of the original terrain is performed on the first step. On each layer, the clustering algorithm called iteration-self organizing data analysis techniques algorithm （ISODATA） is conducted afterwards. Kalman filtering technique is applied to recognize and track the moving objects. Extensive experiments show that these algorithms are effective in object recognition and tracking, as well as robust in the applications.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-011-1172-x