----Every day around the world, a large percentage of people die from traffic accident injuries. An effective approach for reducing traffic fatalities is: first building automatic traffic accident detection system, second, reducing the time between when an accident occurs and when first emergency responders are dispatched to the scene of the accident. Recent approaches are using built-in vehicl...

Anomaly detection from videos is an important computer vision problem where the goal is to identify rare activity examples which significantly deviate from normal behaviors observed in scenes. For example, Fig 1 shows a scene (a) and tracking results (b), where vehicles (blue) and people (green) are tracked over an extended period of time. An example anomaly is shown in Fig. 1(d) where a vehicl...

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This report documents the work conducted for PATH Task Order 5200 – the evaluation of sensor technologies for pedestrian detection. A survey of recent and available sensor products were selected and evaluated to assess their applicability for vehicle-based solutions. The performance characteristics and limitations of various products and technological approaches were investigated. Subsequently,...

Humans are remarkably efficient in detecting highly familiar object categories in natural scenes, with evidence suggesting that such object detection can be performed in the (near) absence of attention. Here we systematically explored the influences of both spatial attention and category-based attention on the accuracy of object detection in natural scenes. Manipulating both types of attention ...