Fast action recognition using negative space features
A novel action descriptor is proposed by using novel feature extraction techniques. A novel fish action dataset is introduced to test effectiveness for animal actions. The proposed system has highest accuracy with lowest processing time. Robust to viewpoint, shadow, occlusion, corrupted-image and low frame rate. Unlike other methods, proposed system computes action cycle length automatically.
action recognition fish actions cycle length negative space action descriptors silhouette fuzzy membership implicit method