NDLI: Intelligent surveillance system with see-through technology

Content Provider	IEEE Xplore Digital Library
Author	Yu-Chen Lin Che-Tsung Lin Cheng-Chuan Chang Long-Tai Chen
Copyright Year	2014
Description	Author affiliation: Safety Sensing & Control Dept., Ind. Technol. Res. Inst., Hsinchu, Taiwan (Che-Tsung Lin; Long-Tai Chen) \|\| Dept. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan (Yu-Chen Lin; Cheng-Chuan Chang)
Abstract	This paper proposes a new intelligent surveillance system for parking lot management in underground environments. The feature based image stitching and image blending techniques are used to let video streams captured by multiple cameras be fused into single output whose blind area could be easily seen through. Such system allows that anyone can immediately understand what is going on in the whole monitored area with a simple glance and without prior geometrical knowledge of the place because the blind area is translucent. The image stitching processes consists of four main parts:(1) feature correspondence detection and fundamental matrix estimation, (2) outlier filtering scheme based on the epipolar geometry and RANSAC, (3) computing the homography matrices between each pair of images, (4) projectively warping the images with their corresponding homography matrices, and conducting image fusion with the non-overlapping parts of the warped images. Finally, the process of translucent blending is applied to eliminate the blind areas inside the stitched image, and then the corresponding cameras behind the occluding pillar provide pixels for translucentizing. We have implemented the preliminary system with six surveillance cameras at underground parking lot environments, and experiment results of real world video sequences have been performed to verify the proposed design.
Starting Page	2029
Ending Page	2034
File Size	726760
Page Count	6
File Format	PDF
ISBN	9781479960781
DOI	10.1109/ITSC.2014.6958002
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Feature extraction Surveillance Streaming media Estimation Artificial intelligence
Content Type	Text
Resource Type	Article

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