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This paper presents a general algorithm to track the line on the ground based on computer vision, which utilizes Raspberry Pi 2 to complete the image processing. The algorithm accomplishes image processing firstly, then recognizes the line by edge detection and scanning model. The proposed algorithm can be used in a variety of platforms including intelligent car system, robot platform, UAV platform...
In this paper, we have designed and implemented an automated smart car system based on camera. With the Freescale MC9S12XS128 microprocessor as its control centre, the system is consisted of both Software and Hardware. At first, the system extracts the horizontal signal and vertical signal from the camera video signal through the LM1881 external circuit, and then the MCU acquires the real time road...
In this paper, a rule-based hierarchical approach is proposed for video parsing in the compressed domain. In this approach, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Firstly, the PCA-based feature is extracted in the compressed domain as the input of the framework, which shows superior performance...
A novel automatic real-time video parsing framework for gradual transition based on principal component analysis is presented. In this framework, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Through this PCA-based framework, the negative influence of significant camera or objects movement to the gradual...
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