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- research-articleMay 2020
Detection of Failure Updation and Correction for Visual Tracking with Kernalized Correlation Filter
ICMLC '20: Proceedings of the 2020 12th International Conference on Machine Learning and ComputingPages 346–351https://doi.org/10.1145/3383972.3383995Correlation filter based trackers have tremendous results in the field of object tracking. There are still challenging situations to track object correctly. Such situations lead correlation filter trackers to lose tracking and there is less mechanism of ...
- research-articleMay 2020
A Kernel Correlation Filter Tracker with Fast Scale Prediction
ICMLC '20: Proceedings of the 2020 12th International Conference on Machine Learning and ComputingPages 574–579https://doi.org/10.1145/3383972.3384057Most existing scale solutions of Correlation Filter-based trackers fail to consider the priority of target scale calculation. Their high complexity destroys the high speed performance of the tracking method. To tackle this problem, an optimization ...
- research-articleMay 2020
Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter
ICMLC '20: Proceedings of the 2020 12th International Conference on Machine Learning and ComputingPages 554–559https://doi.org/10.1145/3383972.3384011Efficient object tracking is a challenge problem as it needs to distinguish the object by learned appearance model as quickly as possible. In this paper, a novel robust approach fusing the prediction information of Kalman filter and prior probability is ...
