Proceedings Article10.1109/UPCON.2018.8596777
Video Stabilization Through Target Detection
Kamlesh Vrma,Debashis Ghosh,Avnish Kumar +2 more
- 01 Nov 2018
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TL;DR: A novel algorithm is developed which auto-detects the target and uses these parameters to stabilize the video itself and this developed algorithm calculates the local and global motion vectors simultaneously.
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Abstract: Visual communication or video processing needs video stabilization as a pre-requisite for applications like computer vision or visual tracking. Most of the visual tracking algorithms assume that the input video is stabilized. It is very hard to find any available literature of visual tracking which takes unstabilized video as input for target detection and tracking. It is observed that most of the videos recorded using hand-held camera or camera mounted on a vehicle (tank, ship, aircraft) suffer from unstabilization due to the unwanted hand/vehicle motions coupled with the camera. Target detection is a prime requirement for visual tracking. A novel algorithm is developed which auto-detects the target and uses these parameters to stabilize the video itself. This developed algorithm calculates the local and global motion vectors simultaneously. Local motion vector is used for target detection/tracking while global motion vector is used for video stabilization. Target of interest is identified in frame and different samples of target are taken around the target coordinate. These target samples are then deposited in positive and negative repositories using classifier method. Training of samples of object is carried out for the detection of object coordinate in the next frame. Object coordinate difference between current and just previous frame provides the intentional motion. Consecutive image frames are compensated to get digital video stabilization.
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Citations
Digital Video Stabilization with Preserved Intentional Camera Motion and Smear Removal
Harsh Saxena,Kamlesh Verma,Debashis Ghosh,Avnish Kumar +3 more
- 01 Jul 2019
TL;DR: A computer vision method is presented to segregate unintentional and intentional motion (both translation and rotational) and promising video results have been obtained for digital video stabilization keeping intentional motion and removing motion smear.
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Maritime Image Stabilization: A Comprehensive Review of Techniques and Challenges
Enping Wei,Yong Chai Tan,Vin Cent Tai,Yanan Hao,Xiaodong Zhang,Tian Zhang +5 more
- 17 May 2024
TL;DR: An up-to-date overview of the techniques, limitations, and algorithms of ship-borne cameras for maritime applications is provided, identifying current knowledge gaps and areas requiring further research.
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