Automatic detection of mouse mating behavior by video surveillance.
Neng‐Wen Lo, Hsuan-Ting Chang, Ming-Tsung Wang · Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) · 2009
The purpose of this study was to detect the behavior of mouse mating using video surveillance. To the best of our knowledge, this is the first study on developing the algorithm for the automatic detection of mouse mating based on video surveillance. First, the mouse movement in a cage was detected by the background subtraction method. When two mice contacted, the corresponding contour can be extracted by edge detection method, by which the distances between the centroid and the edge pixels of contour were determined as a waveform signal. After further sub-sampling and smoothing the waveform, two decision criteria emerged: (1) the total number n of peaks and troughs and (2) the angle θ between two lines connecting the adjacent peak-edges and the centroid of the contour. By using these two criteria, we can successfully detect the mating behavior in the recorded video. Experimental results showed that 87.0% of precision and recall accuracy can be achieved.