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It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subregions with fixed relative locations and extents with respect to the object's image window. We introduce using deformable features with boosted ensembles. A deformable features adapts its location depending on the visual evidence...
We introduce a framework for evaluating human detectors that considers the practical application of a detector on a full image using multisize sliding-window scanning. We produce detection error tradeoff (DET) curves relating the miss detection rate and the false-alarm rate computed by deploying the detector on cropped windows and whole images, using, in the latter, either image resize or feature...
This paper presents a real-time system for detecting and tracking humans from mobile vehicles. The system integrates human detection and tracking algorithms and employs depth information obtained from a stereo vision system. Depth information is used to limit the search space of the detector. We also present a simpler and faster variant of the popular Adaboost human detector. Experimental results...
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