Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67551
Title: Shared-use motion vector algorithm for moving objects detection for automobiles
Authors: Wong, CC
Siu, WC 
Barnes, S
Jennings, P
Fong, B
Issue Date: 2016
Source: 2016 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 7-11 Jan 2016, p.327-328
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.
Keywords: Signal processing algorithms
Vehicles
Cameras
Object detection
Transmission line matrix methods
Image motion analysis
Computer vision
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-1-4673-8364-6 (electronic)
978-1-4673-8363-9 (CD-ROM)
EISSN: 2158-4001
DOI: 10.1109/ICCE.2016.7430632
Appears in Collections:Conference Paper

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