Efficient Multi-Target Tracking Method Based on Fusion Morphology Filtering in Traffic Video Detection
| Autor: | Zhi Yang Gu, Xin Zhang, Wei Bin Chen |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Tracking system Filter (signal processing) Tracking (particle physics) Partition (database) Video tracking Pyramid Computer vision Mean-shift Pyramid (image processing) Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Advanced Materials Research. :1412-1416 |
| ISSN: | 1662-8985 |
| Popis: | Aiming at the tracking real-time and accuracy problem of traffic videos, a efficient Multi-target tracking method based on Fusion morphology filter is proposed. The proposed Multi-target tracking method used by Morphologically Fused Tracking approach and combined with pyramid mean shift algorithm, quantizes the deterioration effects encountered on marble surfaces by providing the number, location and shape of deterioration spots. First the detection based on the application of morphological operator sequential filters by reconstruction with structuring elements of growing size. Then adopt a traditional tracking method such as adaptive pyramid mean shift, because it uses the pyramid analysis technique and can determine the pyramid level adaptively to decrease the number of iterations required to achieve region. We validate our approach on tracking examples using real video sequences, it can precisely partition and track the predetermined objects in video frames. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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