6533b83afe1ef96bd12a7890
RESEARCH PRODUCT
Target tracking with dynamically adaptive correlation
Victor H. Diaz-ramirezLeopoldo N. GaxiolaPascuala García-martínezJuan J. Tapiasubject
business.industryComputer scienceFrame (networking)Process (computing)Tracking system02 engineering and technologyFilter (signal processing)Tracking (particle physics)01 natural sciencesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsOpticsDistortionVideo tracking0103 physical sciencesPattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical Chemistrybusinessdescription
Abstract A reliable algorithm for target tracking based on dynamically adaptive correlation filtering is presented. The algorithm is capable of tracking with high accuracy the location of a target in an input video sequence without using an offline training process. The target is selected at the beginning of the algorithm. Afterwards, a composite correlation filter optimized for distortion tolerant pattern recognition is designed to recognize the target in the next frame. The filter is dynamically adapted to each frame using information of current and past scene observations. Results obtained with the proposed algorithm in synthetic and real-life video sequences, are analyzed and compared with those obtained with recent state-of-the-art tracking algorithms in terms of objective metrics.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-04-01 | Optics Communications |