A Video Scene Detection of the Instantaneous Motion by Farmed Fry

As a method for supporting fish farming, this paper presents a video scene detection when farmed fry start instantaneously in a tank due to environmental stimuli. Although some environmental stimuli such as sound noises or lighting startle the fry and the stimuli bring about the instantaneous response, actual situations around the tanks in which the stimuli occur are unclear in detail. From the fact the fry often die due to crashes to the tank's wall and between the fry by the response, a monitoring system for the fry and situation around the pool could find causes of the stimuli, and it could result in decrease of the death number of the fry. In this research, the fry which swim in a tank are monitored by a video camera and the video scenes at the response are detected by a SVM with a feature value which represents fry's acceleration using sequential frames of the moving image. Preparing the moving images which include scenes of the response by fish in a tank, performances of the proposed method were examined. From experimental results, accuracy ratios of the recall and the precision for the scene detection have shown more than 80% on average and 100% under normal illuminances (108.5 lux on average), respectively.