Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition
Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach to recognition is not inconsistent with visual processing in biological systems that operate in `saccade …