BOBBY2: Buffer Based Robust High-Speed Object Tracking
Keifer Lee, Jun Jet Tai, Swee King Phang

TL;DR
BOBBY2 is a fast, robust object tracker that uses an exemplar buffer to adapt to target changes and maintains high accuracy even with distractors, achieving 85 FPS with a lightweight model.
Contribution
Introduces a novel exemplar buffer module for robust, high-speed object tracking that adapts to target deformation and distractors, with efficient training and competitive performance.
Findings
Achieves 85 FPS with a lightweight AlexNet-based model.
Maintains accuracy even with distractor-filled buffers.
Performs well on GOT-10k and custom UAV datasets.
Abstract
In this work, a novel high-speed single object tracker that is robust against non-semantic distractor exemplars is introduced; dubbed BOBBY2. It incorporates a novel exemplar buffer module that sparsely caches the target's appearance across time, enabling it to adapt to potential target deformation. As for training, an augmented ImageNet-VID dataset was used in conjunction with the one cycle policy, enabling it to reach convergence with less than 2 epoch worth of data. For validation, the model was benchmarked on the GOT-10k dataset and on an additional small, albeit challenging custom UAV dataset collected with the TU-3 UAV. We demonstrate that the exemplar buffer is capable of providing redundancies in case of unintended target drifts, a desirable trait in any middle to long term tracking. Even when the buffer is predominantly filled with distractors instead of valid exemplars, BOBBY2…
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Taxonomy
TopicsVideo Surveillance and Tracking Methods · Advanced Neural Network Applications · Domain Adaptation and Few-Shot Learning
Methods1x1 Convolution · Convolution · Local Response Normalization · Grouped Convolution · *Communicated@Fast*How Do I Communicate to Expedia? · Dropout · Dense Connections · Max Pooling · Softmax · How do I speak to a person at Expedia?-/+/
