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- 저자 : Fengchang Fei (검색결과 2 건)
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Abnormal Event Detection Based on Saliency Information
Zhijun Fang,Fengchang Fei,Yuming Fang,Lei Shu,Wanggen Wan 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.9
Abnormal event detection is a challenging task in video analysis. In this paper, we propose a new abnormal event detection algorithm for surveillance videos. It is well accepted that human eyes are extremely sensitive to abnormal events and they can quickly pay attention to the locations of these abnormal events in visual scenes. Thus, the characteristics of the Human Visual System (HVS) can be used for abnormal event detection. By exploiting the characteristics of the HVS, we propose an abnormal event detection algorithm based on saliency information. Firstly, the saliency information is extracted from video frames based on the feature contrast. The motion information of video frames is calculated by the multi-scale histogram optical flow (MHOF). Based on the features of saliency information and MHOF, the Support Vector Machine (SVM) is used to train and predict the abnormal events in visual scenes. Experimental results show that the proposed abnormal event detection method can obtain much better performance than the existing ones over the public video database.
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A Novel Objective Quality Assessment for Super-Resolution Images
Lei Shu,Yuming Fang,Zhijun Fang,Yong Yang,Fengchang Fei,Naixue Xiong 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
A novel objective quality assessment method is proposed for super-resolution images in this manuscript. We not only estimate the preserved information of each spatial location in the super-resolution image by structural similarity, but also compute the local phase coherence (LPC) with which we can detect the image blur in the super-resolution image. After the preserved structural information and blur information is obtained, an overall evaluation of visual quality of the super-resolution image can be computed. Experimental results show that the proposed objective quality assessment method can be used in the real applications with the original high-resolution images unavailable.
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