Anomalous Object Tracking in Distributed Camera Network
The paper introduces a novel framework for real-time tracking of an object with higher precision in a Pan-Tilt-Zoom (PTZ) camera network. In the above-mentioned framework, the object which behaves anomalously is picked for tracking. An SVM classifier has been used to pick anomaly behaving object amo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2020-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/acm26/files/Kha.pdf |
| _version_ | 1818214747030421504 |
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| author | Md Shahbaz Khan Dr Indu Sreedevi |
| author_facet | Md Shahbaz Khan Dr Indu Sreedevi |
| author_sort | Md Shahbaz Khan |
| collection | DOAJ |
| description | The paper introduces a novel framework for real-time tracking of an object with higher precision in a Pan-Tilt-Zoom (PTZ) camera network. In the above-mentioned framework, the object which behaves anomalously is picked for tracking. An SVM classifier has been used to pick anomaly behaving object among all the objects present in a frame. It is a self-initializing algorithm as it does not require user intervention for object detection. Target detection is followed by its autonomous tracking in the distributed camera network. Hence it does not make the system bulky and takes less time to execute. The paper implements multiple object tracking using Discriminative Correlation Filtering with Channel and Spatial Reliability(CSRDCF) tracking algorithm. Existing works are based on Particle filtering or Kalman filtering algorithms which are computationally complex and not self-initializing. |
| first_indexed | 2024-12-12T06:25:05Z |
| format | Article |
| id | doaj.art-288b23b10bdc45678976417c2ef917a3 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-12T06:25:05Z |
| publishDate | 2020-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-288b23b10bdc45678976417c2ef917a32022-12-22T00:34:48ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-04-0126252352910.5281/zenodo.4007416Anomalous Object Tracking in Distributed Camera NetworkMd Shahbaz Khan0Dr Indu Sreedevi1Delhi Technological University, IndiaDelhi Technological University, IndiaThe paper introduces a novel framework for real-time tracking of an object with higher precision in a Pan-Tilt-Zoom (PTZ) camera network. In the above-mentioned framework, the object which behaves anomalously is picked for tracking. An SVM classifier has been used to pick anomaly behaving object among all the objects present in a frame. It is a self-initializing algorithm as it does not require user intervention for object detection. Target detection is followed by its autonomous tracking in the distributed camera network. Hence it does not make the system bulky and takes less time to execute. The paper implements multiple object tracking using Discriminative Correlation Filtering with Channel and Spatial Reliability(CSRDCF) tracking algorithm. Existing works are based on Particle filtering or Kalman filtering algorithms which are computationally complex and not self-initializing.https://www.fruct.org/publications/acm26/files/Kha.pdfobject trackingself-initializationdistributed camera networkanomaly behaviour detectionhistogram comparison. |
| spellingShingle | Md Shahbaz Khan Dr Indu Sreedevi Anomalous Object Tracking in Distributed Camera Network Proceedings of the XXth Conference of Open Innovations Association FRUCT object tracking self-initialization distributed camera network anomaly behaviour detection histogram comparison. |
| title | Anomalous Object Tracking in Distributed Camera Network |
| title_full | Anomalous Object Tracking in Distributed Camera Network |
| title_fullStr | Anomalous Object Tracking in Distributed Camera Network |
| title_full_unstemmed | Anomalous Object Tracking in Distributed Camera Network |
| title_short | Anomalous Object Tracking in Distributed Camera Network |
| title_sort | anomalous object tracking in distributed camera network |
| topic | object tracking self-initialization distributed camera network anomaly behaviour detection histogram comparison. |
| url | https://www.fruct.org/publications/acm26/files/Kha.pdf |
| work_keys_str_mv | AT mdshahbazkhan anomalousobjecttrackingindistributedcameranetwork AT drindusreedevi anomalousobjecttrackingindistributedcameranetwork |