The paper presents an efficient and reliable feature descriptor for human detection in a top-view depth image that uses two statistical values of mean and standard deviation. Human detection performance of our descriptor outperform Rauter that use mean value and Simplified Local Ternary Pattern (SLTP). To evaluate the human detection performance using our descriptor, we capture 559 positive and 2382 negative top-view depth images. We get 98.1% precision and 94.2% recall rates. Run-time performance of our descriptor is reasonably fast. Human detection using the proposed descriptor can be applicable in detecting multiple human and tracking real time in top-view depth images.
An efficient and reliable feature descriptor for human detection in a top-view depth image was presented by REF (see Fig. 2 ).
Human detection in top-view depth image
Contemporary engineering sciences
Computer Science