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Proceedings Paper

The research on and application of detecting technology in car intelligent video-aided driving system
Author(s): Yuelin Chen; Liangbo Sun; Chong Lu
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Paper Abstract

Analyze the advantages and disadvantages and applying condition of the existing object detecting algorithm, aims to body's variation and real-time and dynamic, combing with Histogram of Gradient statistic method, classify organ of level-connect mechanism and leaning algorithm based on Adaboost of face-detecting Boosted Cascad algorithm, to realize the object detect in car aided driving system. References the sift algorithm rationale and algorithm tracing steability to match and trace the object by characteristic in local area, eliminate the unuse information, simple the search area and speed the tracing. By practical video testing, this method does well in passengers and cars real-time detecting and tracing.

Paper Details

Date Published: 18 August 2011
PDF: 6 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81940O (18 August 2011); doi: 10.1117/12.898980
Show Author Affiliations
Yuelin Chen, Guilin Univ. of Electronic Technology (China)
Liangbo Sun, Guilin Univ. of Electronic Technology (China)
Chong Lu, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 8194:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
Makoto Ikeda; Nanjian Wu; Guangjun Zhang; Kecong Ai, Editor(s)

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