Line Sensor Network
A
linear CCD sensor reads temporal data from a CCD array continuously and forms a
2D image profile. Compared to most of the sensors in the current sensor
networks that output temporal signals, it delivers more information such as
color, shape, and event of a flowing scene. On the other hand, it abstracts
passing objects in the profile without heavy computation and transmits much
less data than a video. This work revisits the capabilities of the sensors in
data processing, compression, and streaming in the framework of wireless sensor
network. We focus on several unsolved issues such as sensor setting, shape
analysis, robust object extraction, and real time background adapting to ensure
long-term sensing and visual data collection via networks. All the developed
algorithms are executed in constant complexity for reducing the sensor and
network burden. A sustainable visual sensor network can thus be established in
a large area to monitor passing objects and people for surveillance, traffic
assessment, invasion alarming, etc.
My Publications:
· S. Bagheri, J. Y. Zheng, S. Sinha, Temporal mapping of surveillance video from indexing and summarization, Computer Vision and Image Understanding (CVIU), 144, 237-257, 2016.
· S. Bagheri, J. Y. Zheng, Temporal mapping of surveillance video, 22th International Conference on Pattern Recognition (ICPR), 4128-4133, 2014.
· J. Y. Zheng, S. Sinha, Line cameras for monitoring and surveillance sensor networks, ACM Conf. Multimedia 07, 433-442, Augsburg, Germany, 2007 (pdf).
·
Jiang Yu Zheng, Line cameras in wireless visual sensor
networks, Book Chapter in Visual
Information Processing in Wireless Sensor Networks: Technology, Trends and
Applications Li-Minn
Ang and Kah Phooi Seng Ed., IGI Global 2011