Single Object Tracking with TLD, Convolutional Networks, and AdaBoost
نویسندگان
چکیده
We evaluate the performance of the TLD algorithm using AdaBoost and SVMs with HOG, CNN, and raw features. We improve runtime performance through algorithmic and implementation optimizations and are able to achieve nearrealtime frame rates of over 10 FPS for selected videos. Our SVM-HOG implementation achieves an average overlap of 54% and 60%, and an average MAP of 67% and 66%, on the validation and test set, respectively.
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