Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the seco...
| Main Authors: | , , , |
|---|---|
| Format: | Book Section |
| Published: |
IEEE Explorer
2011
|
| Subjects: |
| _version_ | 1796856465703567360 |
|---|---|
| author | Munawar, A. Kamal, Khurram Qaisar, A. Ejaz, A. |
| author_facet | Munawar, A. Kamal, Khurram Qaisar, A. Ejaz, A. |
| author_sort | Munawar, A. |
| collection | ePrints |
| description | An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is derived that is a combination of an intruder identification and localization technique derived from the normalized cross correlation method. Spatial and dimensional parameters of the target are autonomously retrieved from segmented correlation method, which are then used as the input parameters for the mean shift algorithm. |
| first_indexed | 2024-03-05T18:43:22Z |
| format | Book Section |
| id | utm.eprints-28919 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:43:22Z |
| publishDate | 2011 |
| publisher | IEEE Explorer |
| record_format | dspace |
| spelling | utm.eprints-289192017-02-04T08:36:58Z http://eprints.utm.my/28919/ Autonomous target detection using segmented correlation method and tracking via mean shift algorithm Munawar, A. Kamal, Khurram Qaisar, A. Ejaz, A. TK Electrical engineering. Electronics Nuclear engineering An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is derived that is a combination of an intruder identification and localization technique derived from the normalized cross correlation method. Spatial and dimensional parameters of the target are autonomously retrieved from segmented correlation method, which are then used as the input parameters for the mean shift algorithm. IEEE Explorer 2011 Book Section PeerReviewed Munawar, A. and Kamal, Khurram and Qaisar, A. and Ejaz, A. (2011) Autonomous target detection using segmented correlation method and tracking via mean shift algorithm. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development, ICOM'11 - Conference Proceedings. IEEE Explorer, pp. 1-6. ISBN 978-1-61284-435-0 http://dx.doi.org/10.1109/ICOM.2011.5937148 10.1109/ICOM.2011.5937148 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Munawar, A. Kamal, Khurram Qaisar, A. Ejaz, A. Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title | Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title_full | Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title_fullStr | Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title_full_unstemmed | Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title_short | Autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| title_sort | autonomous target detection using segmented correlation method and tracking via mean shift algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT munawara autonomoustargetdetectionusingsegmentedcorrelationmethodandtrackingviameanshiftalgorithm AT kamalkhurram autonomoustargetdetectionusingsegmentedcorrelationmethodandtrackingviameanshiftalgorithm AT qaisara autonomoustargetdetectionusingsegmentedcorrelationmethodandtrackingviameanshiftalgorithm AT ejaza autonomoustargetdetectionusingsegmentedcorrelationmethodandtrackingviameanshiftalgorithm |