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The sixth visual object tracking vot2018 challenge results
Abstract The Visual Object Tracking challenge VOT2018 is the sixth annual tracker
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
The visual object tracking vot2015 challenge results
Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …
term single-object visual trackers that do not apply pre-learned models of object …
Reliable patch trackers: Robust visual tracking by exploiting reliable patches
Most modern trackers typically employ a bounding box given in the first frame to track visual
objects, where their tracking results are often sensitive to the initialization. In this paper, we …
objects, where their tracking results are often sensitive to the initialization. In this paper, we …
Iterative multi-view hashing for cross media indexing
Cross media retrieval engines have gained massive popularity with rapid development of
the Internet. Users may perform queries in a corpus consisting of audio, video, and textual …
the Internet. Users may perform queries in a corpus consisting of audio, video, and textual …
Vision and laser fused SLAM in indoor environments with multi-robot system
Purpose Multi-robot laser-based simultaneous localization and map** (SLAM) in large-
scale environments is an essential but challenging issue in mobile robotics, especially in …
scale environments is an essential but challenging issue in mobile robotics, especially in …
Clustering local motion estimates for robust and efficient object tracking
We present a new short-term tracking algorithm called Best Displacement Flow (BDF). This
approach is based on the idea of 'Flock of Trackers' with two main contributions. The first …
approach is based on the idea of 'Flock of Trackers' with two main contributions. The first …
Treelets binary feature retrieval for fast keypoint recognition
Fast keypoint recognition is essential to many vision tasks. In contrast to the classification-
based approaches, we directly formulate the keypoint recognition as an image patch …
based approaches, we directly formulate the keypoint recognition as an image patch …
Regularized discriminant embedding for visual descriptor learning
Visual descriptor learning seeks a projection to embed local descriptors (eg, SIFT
descriptors) into a new Euclidean space where pairs of matching descriptors (positive pairs) …
descriptors) into a new Euclidean space where pairs of matching descriptors (positive pairs) …
[فهرست منابع][C] 基于随机森林的哈希检索算法
花**， 郭欣欣， 张峰， 董春茹 - 计算机科学与探索, 2019