Vision-Based Bicycle Detection Using Multiscale Block Local Binary Pattern

Hongyu Hu, Pengfei Tao, Zhenhai Gao, Qingnian Wang, Zhihui Li and Zhaowei Qu

Mathematical Problems in Engineering, 2014, vol. 2014, 1-7

Abstract:

Bicycle traffic has heavy proportion among all travel modes in some developing countries, which is crucial for urban traffic control and management as well as facility design. This paper proposes a real-time multiple bicycle detection algorithm based on video. At first, an effective feature called multiscale block local binary pattern (MBLBP) is extracted for representing the moving object, which is a well-classified feature to distinguish between bicycles and nonbicycles; then, a cascaded bicycle classifier trained by AdaBoost algorithm is proposed, which has a good computation efficiency. Finally, the method is tested with video sequence captured from the real-world traffic scenario. The bicycles in the test scenario are successfully detected.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:370685

DOI: 10.1155/2014/370685

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