Automatic detection of moving wild animals in airborne remote sensing images

Conservation of wild animals needs adaptive management which is a systematic process for continually improving management policies and practices by learning from monitoring results. However, there is not enough the population size information of large-sized mammals because of their large habitat area. Thus, it is expected to estimate population densities of large-sized mammals using remote sensing. However it costs hard labor to find directly wild animals by visual examination of remote sensing images. In addition, we may overlook some wild animals because remote sensing image is taken from above, not from side. To solve these problems we developed an algorithm for automatic detection of moving wild animals in the snow in airborne remote sensing images with 60% overlap.