EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING
| Autor: | Bo Mao, Zhang Jianshu, Jie Cao, Dongqin Shen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Computer science Coordinate system ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology 010501 environmental sciences Tracking (particle physics) lcsh:Technology 01 natural sciences Position (vector) Computer vision 021101 geological & geomatics engineering 0105 earth and related environmental sciences Pixel lcsh:T business.industry Deep learning lcsh:TA1501-1820 lcsh:TA1-2040 Video tracking Trajectory Artificial intelligence lcsh:Engineering (General). Civil engineering (General) business Camera resectioning |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 2257-2261 (2018) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xlii-3-2257-2018 |
| Popis: | At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tracking technology based on the pixel coordinate system in images still exists some unavoidable problems. Target tracking based on pixel can’t reflect the real position information of targets, and it is difficult to track objects across scenes. Based on the analysis of Zhengyou Zhang's camera calibration method, this paper presents a method of target tracking based on the target's space coordinate system after converting the 2-D coordinate of the target into 3-D coordinate. It can be seen from the experimental results: Our method can restore the real position change information of targets well, and can also accurately get the trajectory of the target in space. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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