虛擬講堂進入演講
講 題Suspected Vehicle Detection for Driving without License Plate Using Symmelets and Edge Connectivity
講 者Department of Computer Sci. and Eng., National Taiwan Ocean University,中華電信研究院 匯流服務研究所-Jun-Wei Hsieh,Yu-Hung Wu,Chih-Chi Yu,黃少鵬
日 期2017/10/25長 度00:14:20人 氣123 次
摘 要
This paper proposes a novel suspected vehicle detection (SVD) system for detecting vehicles moving on roads without a license plate. To detect vehicles from a still image, a symmelet-based approach is derived to determine their ROIs without using any motion feature. A symmelet is a pair of an interest point and its corresponding symmetrical one. This paper modifies the non-symmetrical SURF descriptor into a symmetrical one without adding any time complexity. Then, different symmelets can be very efficiently extracted from road scenes. The set of symmelets can be then used to locate the desired vehicle’s ROI using a projection technique. To examine whether a license plate exists within this ROI, an edge connectivity scheme is then proposed to highlight possible character regions for plate detection. This SVD system provides two advantages; there is no need of background subtraction and it is extremely efficient for real-time ITS applications without using any GPU.
提 供TANET台灣網際網路研討會-TANET2017
進入演講