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	1. Digital Sealing Based on Double Watermarks
	Zhao Lei,Teng Xuan
	Electrics, Communication and Autocontrol Technology 13 May 2009
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:By integrating adaptive robust watermark and simplified fragile watermark, a digital sealing scheme is proposed. The digital seal, which resembles conventional one, shows robustness against attacks like Gaussian noise, median filtering, JPEG compression and cropping. Furthermore, any modification of the seal can be detected. Consequently, the digital sealing technique fulfills the purposes of confidentiality, authentication, integrity and non-repudiation.
	TO cite this article:Zhao Lei,Teng Xuan. Digital Sealing Based on Double Watermarks[OL].[13 May 2009] http://en.paper.edu.cn/en_releasepaper/content/32185


	2. Pedestrian Detection Using Real Adaboost and Decision Tree
	Jia Hui-Xing,Zhang Yu-Jin
	Electrics, Communication and Autocontrol Technology 31 December 2008
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:This paper presents a new pedestrian detection method using a monochrome video camera for driving assistance system. The algorithm is based on the cascade classifier structure first proposed by Viola for face detection. Several extensions have been proposed to make the detection framework more competent for pedestrian detection. First, two new haar like features using two separated rectangles are proposed to enrich the feature pool. Second, the decision tree is used as weak hypothesis of Real Adaboost to capture the dependencies between these features and a new splitting criterion for the tree is used to minimize the error bound of Real Adaboost directly. Third, a tree cascade classifier structure is adopted to deal with intra-class difference of pedestrian. Finally, a kalman filter is used to combine single frame detections together. Pooling together all the strategies, a new pedestrian detection system has been developed which can detect pedestrians as small as 14×28 pixels at 15f/s for a 320×240 image on a P4 3.0GHz computer.
	TO cite this article:Jia Hui-Xing,Zhang Yu-Jin. Pedestrian Detection Using Real Adaboost and Decision Tree[OL].[31 December 2008] http://en.paper.edu.cn/en_releasepaper/content/27184


	3. Super-resolution algorithm based on local gradient
	Jinyu Chu,Ju Liu,Jianping Qiao,Xiaoling Wang
	Electrics, Communication and Autocontrol Technology 19 June 2008
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	Abstract:This paper presents a super-resolution method based on gradient-based adaptive interpolation. In this method, in addition to considering the distance between the interpolated pixel and the neighboring valid pixel, the interpolation coefficients take the local gradient of the original image into account. The smaller the local gradient of a pixel is, the more influence it should have on the interpolated pixel. And wiener filter is finally applied to reduce the blurring and noise of the interpolated high resolution image. Experimental results show that our proposed method not only substantially improves the subjective and objective quality of restored images, especially enhances edges, but also is robust to the registration error and has low computational complexity.
	TO cite this article:Jinyu Chu,Ju Liu,Jianping Qiao, et al. Super-resolution algorithm based on local gradient[OL].[19 June 2008] http://en.paper.edu.cn/en_releasepaper/content/22375


	4. Study Of Adaptive Lane Detection algorithm
	Huang Tao,Liao Li
	Electrics, Communication and Autocontrol Technology 18 May 2007
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	Abstract:This paper presents a Adaptive Lane Detection algorithm .The algorithm based on geometrical transform and Hough transfer and use the least squares analysis to enhance the quality of lane detection. The algorithm have the advantages of high speed and robust. The experience proved that the algorithm is efficient and feasible.
	TO cite this article:Huang Tao,Liao Li. Study Of Adaptive Lane Detection algorithm[OL].[18 May 2007] http://en.paper.edu.cn/en_releasepaper/content/12905

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