A Roadside Parking Detection and Recognition Method Based on Video Motion Trail

doi:10.3969/j.issn.1006-2475.2017.09.013

Abstract

Abstract: An effective detection and recognition method is proposed for the roadside parking problem by combining the KLT corners detection approach and real-time compressive tracking (CT) approach. First, KLT approach is used to detect corner in video for extracting the area of moving car. And then the CT approach is adopted to acquire the motion trail for each parking action to describe the dynamic process of moving cars completely. The proposed method is tested on the real video data for evaluation. The results demonstrate that this method is feasible and effective.

Key words: roadside parking, video, motion trail, parking detection, parking recognition

CLC Number:

TP391

YU Qing-qing1, ZHANG Ke2, TANG Heng-liang3, ZHAO Jing2, GE Yun1, WANG Ming4. A Roadside Parking Detection and Recognition Method Based on Video Motion Trail[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.09.013.

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