On a videoing control system based on object detection and tracking
| Autor: | Qi Tang, Yanhao Ren, Jiang Haijun, Wang Yi, Lu Wenlian |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Emulation
business.industry Computer science Photography ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION PID controller 020207 software engineering 02 engineering and technology Kalman filter 010501 environmental sciences Tracking (particle physics) 01 natural sciences Object detection law.invention Lens (optics) law Control system 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Cropping 0105 earth and related environmental sciences |
| Zdroj: | IROS |
| DOI: | 10.1109/iros45743.2020.9341721 |
| Popis: | In this paper, we propose a camera control system towards occasionally videoing preassigned objects. Based on the technique of real-time visual detection and tracking, using the Kalman filter and re-identification (ReID), we propose continuous composition of lens, based on the atomic rules of shots, and give the trajectory planning of the camera, to generate the PID controller to the pan-tilt. By both simulation and emulation by frame-wise cropping of video clips, we illustrate the efficiency of this method. Based on this model, we design and produce an AI automatic camera for lively photography and clip videoing. |
| Databáze: | OpenAIRE |
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