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Shared-use motion vector algorithm for moving objects detection for automobiles
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Wong, Chup-Chung, Siu, Wan-Chi, Barnes, Stuart, Jennings, P. A. (Paul A.) and Fong, Bernard (2016) Shared-use motion vector algorithm for moving objects detection for automobiles. In: ICCE 2016 "Internet of Me" : Next Gen of Consumer Connectivity, Las Vegas, Nevada, USA, 08-11 Jan 2016. Published in: IEEE International Conference on Consumer Electronics (ICCE) p. 356. ISBN 9781467383646. doi:10.1109/ICCE.2016.7430632
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Official URL: http://edas.info/p20067
Abstract
This paper presents a new motion vector based moving object detection system for use in Advanced Driver Assistance Systems. By the shared-use of motion vectors with a video encoder, the computational cost for motion estimation using optical flow method can be saved, making the system more cost effective. Moving objects are detected by evaluating the planar parallax residuals of macroblocks in the video. The proposed algorithm involves newly proposed “APD” constraints on hypothesis generation and template matching in hypothesis verification. Test results show that moving objects can be detected effectively in scenarios that pose danger to the ego vehicle.
| Item Type: | Conference Item (Paper) | ||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Journal or Publication Title: | IEEE International Conference on Consumer Electronics (ICCE) | ||||
| ISBN: | 9781467383646 | ||||
| Official Date: | 2016 | ||||
| Dates: |
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| Page Range: | p. 356 | ||||
| DOI: | 10.1109/ICCE.2016.7430632 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||
| Description: | IT05 - Event Detection |
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| Conference Paper Type: | Paper | ||||
| Title of Event: | ICCE 2016 "Internet of Me" : Next Gen of Consumer Connectivity | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Las Vegas, Nevada, USA | ||||
| Date(s) of Event: | 08-11 Jan 2016 | ||||
| Related URLs: |
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