Low-light environments have posed a formidable challenge for robust UAV tracking even with state-of-the-art trackers since the potential image features are hard to extract under adverse light conditions. Besides, due to the low visibility, accurate …
Most previous progress in object tracking is realized in daytime scenes with favorable illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereby considerably blocking the broadening of visual tracking-related …
Recent years have witnessed the fast evolution and promising performance of the convolutional neural network (CNN)-based trackers, which aim at imitating biological visual systems. However, current CNN-based trackers can hardly generalize well to …