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Home | Research | Research Programs |
Computational VideoVideo Recognition SystemsVideo Recognition is an emerging area of science that deals with recognition of objects and events in video. Its origin can be attributed to recent advances in computer hardware and video data sensing that have made it possible (and affordable) to process video data in real-time. Much in demand, more and more seen as the only means to deal with the ever-increasing amount of video data coming from TV, internet, video archives, digital and analog video recorders, security cameras, cell phones and other PDAs, Video Recognition requires not only the traditional expertise in Image Processing & Computer Vision, but also expertise in Machine Learning & Pattern Recognition, as well as in Neurobiology & Neural Networks. The four basic Video Recognition tasks (object detection, tracking, memorization, and identification), while easily performed by the brain, still have not found computerized solutions exhibiting performance matching (or even getting close to) that of a live biological vision system. NRC-IIT Video Recognition research aims to advance the newly-established science of Video Recognition (through tutorials and international workshops) and address the needs of Canadian companies that deal with video data. The team conducts research in all of the aforementioned research areas and develops generic and custom-tailored computer vision systems that perform video recognition tasks. The team develops Video Recognition Systems called Perceptual Vision Systems (in order to differentiate them from ordinary Computer Vision Systems), along three application directions:
Current Projects
For additional information, please communicate with the Research Contact listed below or see the Computational Video Group page. Research ContactDr. Dmitry Gorodnichy Business ContactDr. George Forester |
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