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Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for vehicles remains a challenging task. To the best of our knowledge, none of the previous research considered using on-road taxicabs as mobile video surveillance cameras and road traffic flow patterns, therefore not suitable for recovering trajectories of vehicles. With this insight, we model the travel...
Two-view methods have been well developed to identify human actions. However, in a case where the corresponding imaged points cannot induce distinguished measures, the performance of the methods deteriorates. For this reason, we propose a new view-invariant measure for human action recognition by enforcing tri-view constraints in this paper. We apply our approach to video synchronization by imposing...
Vision-based vehicle detection is a critical task for traffic monitoring in modern Intelligent Traffic Systems (ITS). Due to the low-angle nature of most traffic surveillance cameras installed in the real world, vehicle detection in such case has to deal with one fundamental challenge - occlusion, which renders most traditional vehicle detection methods ineffective. In this paper, instead of detecting...
In this paper, we investigate the applicability of the newly proposed data clustering method, affinity propagation, in feature points clustering and the task of vehicle detection and tracking in road traffic surveillance. We propose a model-based temporal association scheme and novel preprocessing and postprocessing operations which together with affinity propagation make a quite successful method...
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