Fast Car/Human Classification Using Triple Directional Edge Property and Local Relations

For fast and robust car/human classification, novel features, ELR and DELR, using triple directional edge property of objects and an efficient method based on two relations are proposed. The proposed feature is considerably less sensitive to distance, occlusion, and the existence of groups than other existing features. The proposed method using the temporal and spatial relation complements the temporary classification error by historic accumulation and multi-resolution block-region referencing. Because the proposed method has high average classification accuracy at various conditions of distance, occlusion, and group and fast processing time, it is useful to the real-time surveillance embedding system.