Probability voting and SVM-based vehicle detection in complex background airborne traffic video

Bo Lei; Qingquan Li; Zhijie Zhang; Chensheng Wang

doi:10.1117/12.981923

30 November 2012 Probability voting and SVM-based vehicle detection in complex background airborne traffic video

Bo Lei, Qingquan Li, Zhijie Zhang, Chensheng Wang

Proceedings Volume 8558, Optoelectronic Imaging and Multimedia Technology II; 85580T (2012) https://doi.org/10.1117/12.981923
Event: Photonics Asia, 2012, Beijing, China

Abstract

This paper introduces a novel vehicle detection method combined with probability voting based hypothesis generation (HG) and SVM based hypothesis verification (HV) specialized for the complex background airborne traffic video. In HG stage, a statistic based road area extraction method is applied and the lane marks are eliminated. Remained areas are clustered, and then the canny algorithm is performed to detect edges in clustered areas. A voting strategy is designed to detect rectangle objects in the scene. In HV stage, every possible vehicle area is rotated to align the vehicle along the vertical direction, and the vertical and horizontal gradients of them are calculated. SVM is adopted to classify vehicle and non-vehicle. The proposed method has been applied to several traffic scenes, and the experiment results show it’s effective and veracious for the vehicle detection.

Citation Download Citation

Bo Lei, Qingquan Li, Zhijie Zhang, and Chensheng Wang "Probability voting and SVM-based vehicle detection in complex background airborne traffic video", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85580T (30 November 2012); https://doi.org/10.1117/12.981923

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KEYWORDS

Roads

Video

Feature selection

Image segmentation

Feature extraction

Image processing

Cameras

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