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Biologists proposed the tau theory to explain how animals control their motion using visual feedback for different tasks including landing and perching. Tau theory is based on a concept called time-to-contact, which is the required time to contact an object if the current velocity is maintained. Recently, tau theory has been applied to control robots' motion for similar tasks such as perching, docking,...
Camera sensor networks (CSNs) are gradually being used in a tele-intensive care unit (tele-ICU), providing useful patient information to remote intensivists. Intensivists wish to focus on different regions of interest (RoIs) containing their patients. We consider a situation where preinstalled camera sensors’ locations remain static and they can change the fields of view only by rotating orientations,...
Using fish behavior to reflect changes of water quality and aim at water quality warning is currently a popular topic of environmental monitoring. The fish tracking technology with occlusion is the basis for the analysis of fish school behavior, and only tracking each individual fish accurately in the shoal can get the exact quantitative analysis of their feature. In this paper, we design the data...
Video surveillance deployed over a flexible Wireless Ad-hoc NETwork (WANET) is gaining popularity in building and home environments. Energy-efficient multicasting is an important issue in surveillance, since camera sensors are always equipped with limited energy capacities. Many works have considered the problem of maximizing the multicast lifetime by assigning the transmission range of nodes. However,...
Video surveillance is an essential tool for many security-related applications but video is also increasingly used in combination with computer vision technologies in other sensing applications. With the growth of installed camera infrastructure and development it would be beneficial to enable video surveillance systems to support many application simultaneously. Service-oriented Architecture (SoA)...
This paper presents a data fusion method for the on-board detection of driver drowsiness in real time. Multiple sensors including camera to capture the driver's eye status, angle sensor to measure the driver's steering behavior, and clock to indicate the time on task were implemented. A data fusion framework based on Dempster-Shafer theory is built for modeling and combining the pieces of evidence,...
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