OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG)
This paper suggests an incipient approach to perform target detection as well as tracking for single and multiple moving objects in thermal video sequences. Thermal imaging is complimentary to visible imaging as it has capability to detect object in low light or dark conditions by detecting the infr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ICT Academy of Tamil Nadu
2017-08-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3125 |
| _version_ | 1818596031413092352 |
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| author | Supriya Mangale Ruchi Tambe Madhuri Khambete |
| author_facet | Supriya Mangale Ruchi Tambe Madhuri Khambete |
| author_sort | Supriya Mangale |
| collection | DOAJ |
| description | This paper suggests an incipient approach to perform target detection as well as tracking for single and multiple moving objects in thermal video sequences. Thermal imaging is complimentary to visible imaging as it has capability to detect object in low light or dark conditions by detecting the infrared radiation of an object and creating an image which contains temperature information. The extracted regions are then used for performing the segmentation of targets in thermal videos. In projected method first, Directed Acyclic Graph (DAG) is used for segmentation in thermal videos. Second, to enlarge the set of target proposals, DAG is initialized with an incremented object proposal set in which, from adjacent frames motion based predictions are used. Last, in this paper for selection of the specific object motion scoring function is used, which is having high optical flow gradient between the edges of the object and background is presented. After segmentation of object, centroid based object tracking is performed to track the objects in thermal videos. The proposed method is evaluated on different thermal videos and found to be robust compared with standard background subtraction method. |
| first_indexed | 2024-12-16T11:25:27Z |
| format | Article |
| id | doaj.art-fb313f1f1ce14715a71813771cadd030 |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-12-16T11:25:27Z |
| publishDate | 2017-08-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-fb313f1f1ce14715a71813771cadd0302022-12-21T22:33:22ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022017-08-01811566157410.21917/ijivp.2017.0221OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG)Supriya Mangale0Ruchi Tambe1Madhuri Khambete2Cummins College of Engineering for Women, IndiaCummins College of Engineering for Women, IndiaCummins College of Engineering for Women, IndiaThis paper suggests an incipient approach to perform target detection as well as tracking for single and multiple moving objects in thermal video sequences. Thermal imaging is complimentary to visible imaging as it has capability to detect object in low light or dark conditions by detecting the infrared radiation of an object and creating an image which contains temperature information. The extracted regions are then used for performing the segmentation of targets in thermal videos. In projected method first, Directed Acyclic Graph (DAG) is used for segmentation in thermal videos. Second, to enlarge the set of target proposals, DAG is initialized with an incremented object proposal set in which, from adjacent frames motion based predictions are used. Last, in this paper for selection of the specific object motion scoring function is used, which is having high optical flow gradient between the edges of the object and background is presented. After segmentation of object, centroid based object tracking is performed to track the objects in thermal videos. The proposed method is evaluated on different thermal videos and found to be robust compared with standard background subtraction method.http://ictactjournals.in/ArticleDetails.aspx?id=3125ThermalDirected Acyclic GraphSegmentationMoving Objects |
| spellingShingle | Supriya Mangale Ruchi Tambe Madhuri Khambete OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) ICTACT Journal on Image and Video Processing Thermal Directed Acyclic Graph Segmentation Moving Objects |
| title | OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) |
| title_full | OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) |
| title_fullStr | OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) |
| title_full_unstemmed | OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) |
| title_short | OBJECT DETECTION AND TRACKING IN THERMAL VIDEO USING DIRECTED ACYCLIC GRAPH (DAG) |
| title_sort | object detection and tracking in thermal video using directed acyclic graph dag |
| topic | Thermal Directed Acyclic Graph Segmentation Moving Objects |
| url | http://ictactjournals.in/ArticleDetails.aspx?id=3125 |
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