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Based on the computer vision and neural network techniques, we propose a driver assistant system for automatic detection and recognition of Chinese traffic panels on highway. In detection stage, search regions are reduced by a simple ROI setting and traffic panels are efficiently identified by proper HSV color thresholding. In recognition stage, individual English characters are first located as maximally...
Moving objects recognition plays an important role in camera-only active safety systems and intelligent autonomous vehicles. For these applications, reliable detection performance is required; however, pedestrian detection is challenging due to their divergent dressing and action variety. Besides, real-time detection and recognition performance is also critical. This paper aims to optimize the pedestrian...
In this paper, we present an embedded system for identifying speed limit signs in real-time. The computation power of processors in embedded system is limited, so the reduction of computing for an embedded system is still an issue, especially for the real-time image processing. We proposed an efficient algorithm for identifying speed limit sign. According to the characteristics of speed limit signs,...
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