Video hashing based on appearance and attention features fusion via DBN
Video hashing has attracted increasing attention in the field of large-scale video retrieval.
However, only low-level features or their combinations, referred to as appearance features …
However, only low-level features or their combinations, referred to as appearance features …
Top-down Cross-modal Guidance for Robust RGB-T Tracking
Most RGB-T trackers heavily rely on bottom-up attention and thus overlook top-down cross-
modal guidance for learning target features. Consequently, the discriminative power of the …
modal guidance for learning target features. Consequently, the discriminative power of the …
Remote safety monitoring for elderly persons based on omni-vision analysis
Y Xiang, Y Tang, B Ma, H Yan, J Jiang, X Tian - PloS one, 2015 - journals.plos.org
Remote monitoring service for elderly persons is important as the aged populations in most
developed countries continue growing. To monitor the safety and health of the elderly …
developed countries continue growing. To monitor the safety and health of the elderly …
Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss
Autism spectrum disorder (ASD) is a prevalent lifelong neurodevelopmental disorder.
Individuals with ASD perform atypical attention toward the visual stimulus. Despite that the …
Individuals with ASD perform atypical attention toward the visual stimulus. Despite that the …
Top–down visual attention integrated particle filter for robust object tracking
Numerous tracking methods have been proposed and work well under many challenging
conditions. However, there are still some problems need to be solved, such as abrupt motion …
conditions. However, there are still some problems need to be solved, such as abrupt motion …
Robust visual tracking via laplacian regularized random walk ranking
Visual tracking is a fundamental and important problem in computer vision and pattern
recognition. Existing visual tracking methods usually localize the visual object with a …
recognition. Existing visual tracking methods usually localize the visual object with a …
Salience based object tracking in complex scenes
Q Wang, S Tang, D Zhai, X Hu - Neurocomputing, 2018 - Elsevier
A robust visual tracking system is expected to track the object accurately and rapidly in
complex scenes with clutters, distracters and partial occlusion etc. These challenges remain …
complex scenes with clutters, distracters and partial occlusion etc. These challenges remain …
An emotion-driven attention model for service robot
M Ying, L Zhentao - 2016 12th World Congress on Intelligent …, 2016 - ieeexplore.ieee.org
This paper presents an Emotion-Driven Attention (EDA) model for the service robot based
on cognitive structure of human, which integrates the emotion mechanism with cognitive …
on cognitive structure of human, which integrates the emotion mechanism with cognitive …
基于视觉显著图的结构反稀疏在线目标跟踪.
胡正平, 谢荣路, 王蒙, 孙哲 - Journal of Signal Processing, 2017 - search.ebscohost.com
为提高稀疏跟踪器性能, 提出一种在贝叶斯推论框架下的基于视觉显著图的结构反稀疏在线目标
跟踪算法. 首先将基于马尔可夫(markov) 模型的关联性视觉显著度检测算法用于当前帧并计算 …
跟踪算法. 首先将基于马尔可夫(markov) 模型的关联性视觉显著度检测算法用于当前帧并计算 …
Emotion-driven attention of the robotic manipulator for action selection
Y Mei - 2016 35th Chinese Control Conference (CCC), 2016 - ieeexplore.ieee.org
The capacity of attention is crucial for robotic manipulator performing many tasks. This paper
presents an Emotion-Driven Attention (EDA) model for robotic manipulator action selection …
presents an Emotion-Driven Attention (EDA) model for robotic manipulator action selection …