Detection and Tracking of Human in Dynamic Scenes
碩士 === 大同大學 === 電機工程學系(所) === 92 === ABSTRACT Detection and tracking human in image sequences is a fundamental and crucial research topic. It has vast applications in many visual systems, e.g. video surveillance, traffic monitoring, human detection, and video editing, etc. In this thesis, we aim at...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/35155824325542131518 |
| Summary: | 碩士 === 大同大學 === 電機工程學系(所) === 92 === ABSTRACT
Detection and tracking human in image sequences is a fundamental and crucial research topic. It has vast applications in many visual systems, e.g. video surveillance, traffic monitoring, human detection, and video editing, etc. In this thesis, we aim at explore and implement a detection and tracking of human system in dynamic scenes.
The system consists of four major blocks: (i) Dominant motion estimation: We adopt the hierarchical dominant motion estimation method in the form of a Gaussian pyramid to estimate the background motion. (ii) Motion detection: An efficient and effective method based on background subtraction is adopted to detect moving objects. (iii) Image blending: Once the dominant motion of the consecutive frames is obtained, we then use a triangular weighting function to blend overlapping regions into a panoramic background image. (iv) Tracking of moving objects: Finally, we utilize a set of three geometric features extracted from the detected moving objects to track moving object in complex environment.
We demonstrate our tracking system with real-life image sequences. Experimental results show that our algorithm is fair robust and effective.
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