깊이 센서를 이용한 능동형태모델 기반의 객체 추적 방법

• Published in: (사)디지털산업정보학회 논문지, 9(1) Vol. 9; no. 1; pp. 141 - 150
• Main Authors: 정훈조, 이동은, Jung, Hun Jo, Lee, Dong Eun
• Format: Journal Article
• Language: Korean
• Published: (사)디지털산업정보학회 2013
• Subjects: 컴퓨터학; Depth Sensor; Active Shape Model; Object Tracking; Kinect Sensor; 3D Sensor
• ISSN: 1738-6667; 2713-9018

This study proposes technology using Active Shape Model to track the object separating it by depth-sensors. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust object can be extracted. The proposed algorithm removes the horizontal component from the information of the initial depth map and separates the object using the vertical component. In addition, it is also a more efficient morphology, and labeling to perform image correction and object extraction. By applying Active Shape Model to the information of an extracted object, it can track the object more robustly. Active Shape Model has a robust feature-to-object occlusion phenomenon. In comparison to visual camera-based object tracking algorithms, the proposed technology, using the existing depth of the sensor, is more efficient and robust at object tracking. Experimental results, show that the proposed ASM-based algorithm using depth sensor can robustly track objects in real-time.