View adaptive detection and distributed site wide tracking
Using a detect and track paradigm, we present a surveillance framework where each camera uses local resources to perform real-time person detection. These detections are then processed by a distributed site-wide tracking system. The detectors themselves are based on boosted user-defined exemplars, w...
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Journal article |
| اللغة: | English |
| منشور في: |
2007
|
| _version_ | 1826294673195401216 |
|---|---|
| author | Tu, P Krahstoever, N Rittscher, J |
| author_facet | Tu, P Krahstoever, N Rittscher, J |
| author_sort | Tu, P |
| collection | OXFORD |
| description | Using a detect and track paradigm, we present a surveillance framework where each camera uses local resources to perform real-time person detection. These detections are then processed by a distributed site-wide tracking system. The detectors themselves are based on boosted user-defined exemplars, which capture both appearance and shape information. The detectors take integral images of both intensity and Sobel responses as input. This data representation enables efficient processing without relying on background subtraction or other motion cues. View-specific person detectors are constructed by iteratively presenting the boosting algorithm with training data associated with each individual camera. These detections are then transmitted from a distributed set of tracking clients to a server, which maintains a set of site-wide target tracks. Automatic calibration methods allow for tracking to be performed in a ground plane representation, which enables effective camera handoff. Factors such as network latencies and scalability will be discussed. © 2007 IEEE. |
| first_indexed | 2024-03-07T03:49:18Z |
| format | Journal article |
| id | oxford-uuid:c0a96a79-f66d-429f-b551-adb24d5a0df2 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T03:49:18Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:c0a96a79-f66d-429f-b551-adb24d5a0df22022-03-27T05:56:00ZView adaptive detection and distributed site wide trackingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c0a96a79-f66d-429f-b551-adb24d5a0df2EnglishSymplectic Elements at Oxford2007Tu, PKrahstoever, NRittscher, JUsing a detect and track paradigm, we present a surveillance framework where each camera uses local resources to perform real-time person detection. These detections are then processed by a distributed site-wide tracking system. The detectors themselves are based on boosted user-defined exemplars, which capture both appearance and shape information. The detectors take integral images of both intensity and Sobel responses as input. This data representation enables efficient processing without relying on background subtraction or other motion cues. View-specific person detectors are constructed by iteratively presenting the boosting algorithm with training data associated with each individual camera. These detections are then transmitted from a distributed set of tracking clients to a server, which maintains a set of site-wide target tracks. Automatic calibration methods allow for tracking to be performed in a ground plane representation, which enables effective camera handoff. Factors such as network latencies and scalability will be discussed. © 2007 IEEE. |
| spellingShingle | Tu, P Krahstoever, N Rittscher, J View adaptive detection and distributed site wide tracking |
| title | View adaptive detection and distributed site wide tracking |
| title_full | View adaptive detection and distributed site wide tracking |
| title_fullStr | View adaptive detection and distributed site wide tracking |
| title_full_unstemmed | View adaptive detection and distributed site wide tracking |
| title_short | View adaptive detection and distributed site wide tracking |
| title_sort | view adaptive detection and distributed site wide tracking |
| work_keys_str_mv | AT tup viewadaptivedetectionanddistributedsitewidetracking AT krahstoevern viewadaptivedetectionanddistributedsitewidetracking AT rittscherj viewadaptivedetectionanddistributedsitewidetracking |