【论文阅读】Moving Object Detection: Review of Recent Research Trends
Moving Object Detection
已提出的方法
- Background Subtraction
- Frame differencing
- Temporal Differencing
- Optical Flow
检测的问题挑战
- dynamic background
- illumination variations
- misclassification of shadow as object
- camouflage and bootstrapping problems.
传统方法
Background Subtraction
运动目标 = 当前帧 - 背景
干扰因素:
- 背景是动态的
- 光照改变
- 阴影
Frame Differencing
连续帧做差
缺点:难以获得完整的轮廓
Temporal Differencing
原理:待补充
缺点:对物体运动速度有要求,太慢或太快
Optical Fow
算光流
缺点:
- 计算量大
- 噪声敏感
最近研究(2015)
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