Video-Based Automatic Target Recognition
| Title | Video-Based Automatic Target Recognition |
| Publication Type | Reports |
| Year of Publication | 2004 |
| Authors | Zhou SK, Chellappa R, Mei X, Wu H, Zheng Q |
| Date Published | 2004/12// |
| Institution | MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH |
| Keywords | *SEQUENCES(MATHEMATICS), *TARGET RECOGNITION, *VEHICLES, *VIDEO RECORDING, algorithms, AUTOMATIC TRACKING., COMPONENT REPORTS, MOVING TARGETS, SURFACE TRANSPORTATION AND EQUIPMENT, SYMPOSIA, TARGET CLASSIFICATION, TARGET DIRECTION, RANGE AND POSITION FINDING, tracking, VIDEO SIGNALS |
| Abstract | We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically detected using a detection algorithm. Next, we perform simultaneous tracking and recognition using an appearance-model based particle filter. The tracking result is evaluated at each frame. Low confidence in tracking performance initiates a new cycle of detection, tracking and classification. We demonstrate the robustness of the proposed method using outdoor IR video sequences. |
| URL | http://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA431617 |