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In order to improve the accuracy of pedestrian detection, we proposed an algorithm of multi-channel feature detection based on Discrete Cosine Transform (DCT). We use a two-layer convolution network for arranging the image information after DCT to build a new channel in the frequency domain. The channel can describe complex textures about pedestrian. Combined with the features of the histogram of...
We construct a robust and precise multi-orientation text detection system in scene images which can extensively locate possible characters with multi-information fusion. In our method, an adaptive multi-channel character grouping algorithm is first proposed to extract all possible character candidates robustly, and an AdaBoost classifier is then to properly identify character candidates as characters...
Background subtraction method is a tracking method only based on motion information. It cannot make a distinction between the foreground objects detected. The feature-based tracking methods need to select the appropriate prediction and search algorithm. But the algorithm complexity and amount of computation is large for the multi-target tracking. Therefore, this paper presents the method based on...
The traditional background difference method is based on gray image. Some information is lost when color image is transformed into gray image. So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows. In this paper, the background difference is based on RGB color model. It is proposed to use the average value of each pixel of the color...
Since the implementation of Tobacco Hazards Prevention Act, the prohibition against smoking in public places tends to be stricter in Taiwan. Its emphasis level can be inferred from the frequent law amendments in recent years. In order to effectively improve the prevention effect and bring down the costs of human surveillance, this paper proposes a smoking behavior detection system based on the human...
This paper mainly concerns about the development of a small-sized humanoid robot for penalty kick function in FIRA by using FPGA. The environment information is captured by the CMOS image sensor and the strategy is processed by FPGA. We will describe how the robot search the ball in the field and the tracking algorithm will be introduced. The strategy for PK event will also be presented in this paper...
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