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Despite the huge research on crowd on behavior understanding in visual surveillance community, lack of publicly available realistic datasets for evaluating crowd behavioral interaction led not to have a fair common test bed for researchers to compare the strength of their methods in the real scenarios. This work presents a novel crowd dataset contains around 45,000 video clips which annotated by one...
This paper presents two fundamental contributions that can be very useful for any autonomous system that requires point correspondences for visual odometry. First, the Spatio-Temporal Monitor (STM) is an efficient method to identify good features to track by monitoring their spatiotemporal (x-y-t) appearance without any assumptions about motion or geometry. The STM may be used with any spatial (x-y)...
Older adults suffering from Alzheimer's disease often require assistance with performing simple activities of daily living, such as washing their hands in the bathroom. This severely limits their independence and places a heavy care giving burden on their family and the healthcare system. The motivation for developing a water detection algorithm is for it to be used within a system that provides reminding...
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