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Vehicles are indispensable in modern life. The capability of monitoring them over a long range can play significant roles in many surveillance applications. However, due to high mobility of vehicles, tracking them is difficult and we need to utilize a large network of cameras and reason on discrete sets of observations made from non-overlapping cameras. In this paper, we introduce enabling techniques...
In this paper, an extended work reported in [Shet, et al , 2007] to detect complex objects in aerial images was discussed. Such objects, e.g. surface to air missile launcher sites, are highly variable in appearance and can only be characterized by their functional design and surrounding context, such as physical arrangement of access structures. Constraints in acquiring sufficient annotated data for...
The capacity to robustly detect humans in video is a critical component of automated visual surveillance systems. This paper describes a bilattice based logical reasoning approach that exploits contextual information and knowledge about interactions between humans, and augments it with the output of different low level detectors for human detection. Detections from low level parts-based detectors...
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