车辆检测常用的有帧差法、背景差法和边缘检测法等。
There are usually three approaches for vehicle detection, that is frame differencing, background differencing and edge detection.
结果显示该算法明显优于帧差法、背景差法、路面标记法。
The result shows this algorithm is better than frame difference method, background difference method and road mark method.
为了克服了减背景法对光照变化敏感的不足，再结合帧差法对运动目标进行检测。
In order to overcome the lack of sensitivity of light change, combining the adaptive background subtraction with the symmetrical differencing obtains the integrity foreground image.
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