Nadejda Roubtsova

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The use of contextual information can significantly aid scene understanding of surveillance video. Just detecting people and tracking them does not provide sufficient information to detect situations that require operator attention. We propose a proof-of-concept system that uses several sources of contextual information to improve scene understanding in(More)
Helmholtz Stereopsis is a powerful technique for reconstruction of scenes with arbitrary reflectance properties. However, previous formulations have been limited to static objects due to the requirement to sequentially capture reciprocal image pairs (i.e. two images with the camera and light source positions mutually interchanged). In this paper, we propose(More)
Text detection and recognition in natural images have conventionally been seen in the prior art as autonomous tasks executed in a strictly sequential processing chain with limited information sharing between subsystems. This approach is flawed because it introduces (1) redundancy in extracting the same text properties multiple times and (2) error by(More)
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