Title :
High throughput FPGA architecture for corner detection in traffic images
Author :
Dinh, Tung H. ; Vu, Dao Q. ; Vu-Duc Ngo ; Nam Pham Ngoc ; Truong, Vu T.
Author_Institution :
Sch. of Electron. & Telecommun., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
fDate :
July 30 2014-Aug. 1 2014
Abstract :
Corner detection is the most computationally intensive step in vehicle tracking and vehicle speed estimation algorithms. In order to have real-time vehicle tracking for traffic surveillance applications, high speed architectures for corner detection are needed. This paper presents a high throughput FPGA architecture for detecting special features (corners in more detail) on traffic images which are captured by cameras. The module is implemented based on the FAST (Features from Accelerated Segment Test) algorithm with some modifications to be suitable for traffic images. The proposed architecture is able to reduce a great number of unnecessary detected corner points and maintain a high throughput of more than a thousand of 8-bit gray-scale images per second at 640 × 480 resolution. The resource usage is 21% lower than that of existing work, which allows the architecture to be implemented on almost all types of FPGA.
Keywords :
edge detection; feature extraction; field programmable gate arrays; image resolution; object detection; object tracking; surveillance; traffic engineering computing; FAST algorithm; Features from Accelerated Segment Test algorithm; cameras; corner detection; corner points; gray-scale images; high speed architecture; high throughput FPGA architecture; image resolution; real-time vehicle tracking; resource usage; special feature detection; traffic images; traffic surveillance application; vehicle speed estimation algorithm; word length 8 bit; Algorithm design and analysis; Field programmable gate arrays; Image resolution; Image segmentation;
Conference_Titel :
Communications and Electronics (ICCE), 2014 IEEE Fifth International Conference on
Conference_Location :
Danang
Print_ISBN :
978-1-4799-5049-2
DOI :
10.1109/CCE.2014.6916718