Zobrazeno 1 - 6
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pro vyhledávání: '"Kelathodi Kumaran Santhosh"'
Publikováno v:
In Expert Systems With Applications 15 March 2019 118:169-181
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11891-11902
Visual surveillance has become indispensable in the evolution of Intelligent Transportation Systems (ITS). Video object trajectories are key to many of the visual surveillance applications. Classifying varying length time series data such as video ob
Publikováno v:
IEEE Transactions on Cybernetics. 51:4148-4161
Appropriate modeling of a surveillance scene is essential for the detection of anomalies in road traffic. Learning usual paths can provide valuable insight into road traffic conditions and thus can help in identifying unusual routes taken by commuter
Publikováno v:
ACM Computing Surveys. 53:1-26
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. Timely detection of traffic violations and abnormal behavior of pedestrians at public places through computer vision and visual
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:1762-1773
Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live videos is real-time detection of objects in a non-parametric way. Anoth
Publikováno v:
2017 IEEE Region 10 Symposium (TENSYMP).
In a smart city build-up, intelligent transportation system (ITS) is essential for efficient and adaptive control of the transportation system. In order to have a meaningful ITS, availability of statistics such as types of the objects (vehicles, huma