Detection and Tracking of Vehicle Target Based on Super-Resolution Reconstruction and Variable Template Matching
| Autor: | Sheng Wei Zhang, Shao Dong Chen, Jun Yong Ma |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Matching (statistics)
business.industry Iterative method Computer science Template matching ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Tracking (particle physics) Superresolution Image (mathematics) Variable (computer science) Computer vision Artificial intelligence business |
| Zdroj: | Applied Mechanics and Materials. :1429-1432 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.541-542.1429 |
| Popis: | Vehicle Target Detection and Tracking Method Based on Image Super-Resolution Reconstruction and Variable Template Matching is Put Forward. Firstly, a Nonlinear Iterative Algorithm is Applied to Reconstruct a Super-Resolution Image from Low Resolution Image Sequence; then, the Image is Standardized and the Movement Areas are Determined; Finally, the Variable Template Matching Method is Used to Detect and Track the Vehicle Targets in Movement Areas. from the Characteristics of Algorithm and the Experiment Results, we can see that the Proposed Algorithm Improves the Matching Accuracy of Target Tracking and Better Solves the Limitation of Missed Detection for Traditional Methods. the Reason of the Good Performance of the Proposed Algorithm Relies in High Quality Images Acquired by Super-Resolution Reconstruction from Low Resolution Image Sequence and the Application of Variable Template Matching Method. |
| Databáze: | OpenAIRE |
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