The use of multiple features has been shown to be an effective strategy for visual tracking
because of their complementary contributions to appearance modeling. The key problem is …

With a good balance between tracking accuracy and speed, correlation filter (CF) has
become one of the best object tracking frameworks, based on which many successful …

Object tracking has always been an interesting and essential research topic in the domain of
computer vision, of which the model update mechanism is an essential work, therefore the …

In recent years, deep learning based visual tracking methods have obtained great success
owing to the powerful feature representation ability of Convolutional Neural Networks …

Desktop action recognition from first-person view (egocentric) video is an important task due
to its omnipresence in our daily life, and the ideal first-person viewing perspective for …

Visual tracking is a complex problem due to unconstrained appearance variations and a
dynamic environment. The extraction of complementary information from the object …

Salient object detection is a critical task in the field of computer vision. However, existing
detection methods still face certain challenges, such as the inability to effectively integrate …

We propose a method that obtains a discriminative visual dictionary and a nonlinear
classifier for visual tracking tasks in a sparse coding manner based on the globally linear …

For visual tracking methods based on reinforcement learning, action space determines the
ability of exploration, which is crucial to model robustness. However, most trackers adopted …

摘要针对移动机器人视觉目标检测与跟踪任务, 首先, 阐述了其研究背景及意义,
分析了当前目标检测与跟踪方法研究中存在的难点; 其次, 结合特征表达的类型和检测步骤对 …