YingLi Tian

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One of the key components of tele-presence systems is automatic awareness of the remote environment. This very same capability of automatic situation awareness is currently being developed and deployed in the context of the next generation smart surveillance systems. Smart surveillance systems use a number of automatic video analysis techniques like object(More)
The increasing need for sophisticated surveillance systems and the move to digital surveillance infrastructure has transformed surveillance into a large scale data analysis and management challenge. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data. While the majority of the research(More)
The increasing need for sophisticated surveillance systems and the move to digital surveillance infrastructure has transformed surveillance into a large scale data analysis and management challenge. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data. While the majority of the research(More)
Door detection by using wearable cameras helps people with severe vision impairment to independently access unknown environments. The goal of this paper is to robustly detect different doors and classify them as office doors, elevators , exits, etc. These tasks are challenging due to the factors: 1) small inter-class variations of different objects such as(More)
Visual processing of people, including detection, tracking, recognition, and behavior interpretation, is a key component of intelligent video surveillance systems. Computer vision algorithms with the capability of " looking at people " at multiple scales can be applied in different surveillance scenarios, such as far-field people detection for wide-area(More)
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