An Improved Algorithm of Automatic Fall Detection

Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistance to reduce further injury. This paper proposes an improved algorithm of automatic fall detection. Three features — human aspect ratio, effective area ratio and center variation rate are used in the proposed algorithm, which can effectively prevent misjudgments and greatly increase the accuracy of detection results. This algorithm has a less computing complexity and is easy to implement. Experimental results show that the algorithm has good robustness.