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Stereo-based spatial and temporal feature matching method for object tracking and distance estimation

Title
Stereo-based spatial and temporal feature matching method for object tracking and distance estimation
Author(s)
Lim, Young-ChulLee, Chung-HeeKim, Jonghwan
Issued Date
2013
Citation
2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013, pp.492 - 496
Type
Conference Paper
ISBN
9789898565419
Abstract
In this paper, we propose a stereo-based object tracking and distance estimation method using spatial and temporal feature matching scheme. Our work aims to track an object robustly and to estimate its distance accurately without stereo matching processing, which requires a considerable amount of processing time and numerous processing resources. Our method combines temporal feature matching and spatial feature matching schemes. Our experimental results demonstrate that the proposed method can provide good object tracking and distance estimation performance in real-world environments.
URI
http://hdl.handle.net/20.500.11750/3847
Publisher
Springer
Related Researcher
  • 임영철 Lim, Young Chul
  • Research Interests Deep learning;딥러닝; object detection;객체검출; re-identification;재식별; multi-object tracking;다중객체추적; multi-camera video analysis;다중카메라영상분석
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Appears in Collections:
Division of Automotive Technology 2. Conference Papers
Division of AI, Big data and Block chain 2. Conference Papers

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