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In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global and local contrast of a surveillance video. The algorithm is inspired on the human visual system, and accounts for the perceptual sensitivity to noise, compression artifacts, and(More)
We present a new Video Fire Detection (VFD) system for surveillance applications in fire and security industries. The system consists of three modules: pixel-level processing to identify potential fire blobs, blob-based spatial-temporal feature extraction, and a Support Vector Machine (SVM) classifier. The proposed novel spatial-temporal features include a(More)
—In this paper we propose a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. As described in Liu et al. [8]'s work, face hallucination uses two models: a global parametric model which synthesizes global face shapes from eigenfaces, and a local parametric model which enhances the(More)
In this paper we propose a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. Face hallucination normally uses two models: a global parametric model which synthesizes the global face shapes from eigenfaces, and a local parametric model which enhances the local high frequency details.(More)
Adverse weather conditions such as snow, fog or heavy rain greatly reduce the visual quality of outdoor surveillance videos. Video quality enhancement can improve the visual quality of surveillance videos providing clearer images with more details to better meet human perception needs and also improve video analytics performance. Existing work in this area(More)
Introduction The simulation activity described in this paper was undertaken for the design of a hierarchical multiple access communication network for a distributed real-time control system. Previous real-time multiple access networks, e.g. for simultaneous data and voice over Ethernet [6; 11] or for interconnected local area networks [1] have not had hard(More)
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