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Video surveillance systems generate enormous amounts of data which makes the continuous monitoring of video a very difficult task. Re-identification of subjects in video surveillance systems plays a significant role in public safety. Recent work has focused on appearance modeling and dis- tance learning to establish correspondence between images. However, real-life scenarios suggest that the majority...
Major percentage of car accidents occur during nighttime due to the lack of sunlight, making it difficult to see external factors like control devices, traffic flow and road markings between the vehicle and its surroundings.
In this paper, we propose a novel object detection algorithm for underwater environments exploiting multiscale graph-based segmentation. The graph-based approach to image segmentation is fairly independent from distortion, color alteration and other peculiar effects arising with light propagation in water medium. The algorithm is executed at different scales in order to capture both the contour and...
Monitoring pupil and blink dynamics has applications in cognitive load measurement during human–machine interaction. However, accurate, efficient, and robust pupil size and blink estimation pose significant challenges to the efficacy of real-time applications due to the variability of eye images, hence to date, require manual intervention for fine tuning of parameters. In this paper, a novel self-tuning...
Among the diverse applications of computer and communication technologies, Intelligent Transport System aids in simplifying transport problems. Its aim is to gather data and provide timely feedback to traffic managers (traffic policemen) and road users. The various problems involved in processing real-time traffic data has been addressed in several areas of research that includes vehicle detection,...
The purpose of this paper is to develop an automatic camera phone based multi-view food classifier as part of a food intake assessment system. Food intake assessment is important for obesity management, which has shown significant impacts in public healthcare. Conventional dietary record based food intake assessment methods exhibit insufficient popularity due to their low accuracy and high dependence...
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