Mathematical Morphology Based Moving Object Detection Algorithm under Complicated Background

Jun Zhou

doi:10.4028/www.scientific.net/AMM.596.361

Paper Titles

Combined Filter Method Based on Terrain Factors
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Design and Implementation of Safety Lock Based on Face Recognition
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Image Quality Assessment Based on Region of Interest
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Lane Mark Identifying and Tracking Base on Edge Enhancement
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Mathematical Morphology Based Moving Object Detection Algorithm under Complicated Background
p.361

Removing the Stripe Noises Interference on the Hα Full-Disk Solar Image Based on Multiscale Transform
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Research on Scene Organize Algorithm Based on BVH with Dynamic Rendering Tree
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Study of Video Object Detection and Shadow Suppression Algorithms
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Video Time-Space Body Filtering Based on Dual-Directional Markov Chain Monte Carlo Particle Filter
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Mathematical Morphology Based Moving Object...

Mathematical Morphology Based Moving Object Detection Algorithm under Complicated Background

Abstract:

In many applications of modern world, moving object detection is an important work. Especially, the detection of moving object under complicated background has more difficult. On the basis of introduction of conventional detection methods such as temporal difference detection (TDD) and background subtraction detection, the paper proposes a new mathematical morphology based moving object detection algorithm in view of complicated background. The proposed algorithm utilizes the opening and closing operations to process the temporal differenced image. Then, it compares the processed image with the background differenced image. The experimental results show that the proposed algorithm can be able to detect the moving object effectively under complicatedly external environment and has a higher detection precision in contrast with the conventional temporal detection method..