Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance
Detection of moving vehicles in aerial video sequences is of great importance with many promising applications in surveillance, intelligence transportation, or public service applications such as emergency evacuation and policy security. However, vehicle detection is a challenging task due to global...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/357191 |
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| _version_ | 1849411567264727040 |
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| author | Gao Chunxian Zeng Zhe Liu Hui |
| author_facet | Gao Chunxian Zeng Zhe Liu Hui |
| author_sort | Gao Chunxian |
| collection | DOAJ |
| description | Detection of moving vehicles in aerial video sequences is of great importance with many promising applications in surveillance, intelligence transportation, or public service applications such as emergency evacuation and policy security. However, vehicle detection is a challenging task due to global camera motion, low resolution of vehicles, and low contrast between vehicles and background. In this paper, we present a hybrid method to efficiently detect moving vehicle in aerial videos. Firstly, local feature extraction and matching were performed to estimate the global motion. It was demonstrated that the Speeded Up Robust Feature (SURF) key points were more suitable for the stabilization task. Then, a list of dynamic pixels was obtained and grouped for different moving vehicles by comparing the different optical flow normal. To enhance the precision of detection, some preprocessing methods were applied to the surveillance system, such as road extraction and other features. A quantitative evaluation on real video sequences indicated that the proposed method improved the detection performance significantly. |
| format | Article |
| id | doaj-art-5dec6510d2b246dca8bafd0b4f4c795e |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-5dec6510d2b246dca8bafd0b4f4c795e2025-08-20T03:34:44ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/357191357191Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial SurveillanceGao Chunxian0Zeng Zhe1Liu Hui2Department of Communication Engineering, Xiamen University, Xiamen 361005, ChinaCollege of Geo-Resources and Information, China University of Petroleum, Qingdao 266555, ChinaDepartment of Communication Engineering, Xiamen University, Xiamen 361005, ChinaDetection of moving vehicles in aerial video sequences is of great importance with many promising applications in surveillance, intelligence transportation, or public service applications such as emergency evacuation and policy security. However, vehicle detection is a challenging task due to global camera motion, low resolution of vehicles, and low contrast between vehicles and background. In this paper, we present a hybrid method to efficiently detect moving vehicle in aerial videos. Firstly, local feature extraction and matching were performed to estimate the global motion. It was demonstrated that the Speeded Up Robust Feature (SURF) key points were more suitable for the stabilization task. Then, a list of dynamic pixels was obtained and grouped for different moving vehicles by comparing the different optical flow normal. To enhance the precision of detection, some preprocessing methods were applied to the surveillance system, such as road extraction and other features. A quantitative evaluation on real video sequences indicated that the proposed method improved the detection performance significantly.http://dx.doi.org/10.1155/2015/357191 |
| spellingShingle | Gao Chunxian Zeng Zhe Liu Hui Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance Discrete Dynamics in Nature and Society |
| title | Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance |
| title_full | Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance |
| title_fullStr | Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance |
| title_full_unstemmed | Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance |
| title_short | Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance |
| title_sort | hybrid video stabilization for mobile vehicle detection on surf in aerial surveillance |
| url | http://dx.doi.org/10.1155/2015/357191 |
| work_keys_str_mv | AT gaochunxian hybridvideostabilizationformobilevehicledetectiononsurfinaerialsurveillance AT zengzhe hybridvideostabilizationformobilevehicledetectiononsurfinaerialsurveillance AT liuhui hybridvideostabilizationformobilevehicledetectiononsurfinaerialsurveillance |