most citedSiamese Attentional Keypoint Network for High Performance Visual Tracking

104 citations · 248 across the 13 of their papers we have counts for

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cs.CV2019★ 99 cited

Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Peng Gao, Qiquan Zhang, Fei Wang +3

Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge. In this paper, we pro…

cs.CV2019★ 4 cited

Joint Multi-frame Detection and Segmentation for Multi-cell Tracking

Zibin Zhou, Fei Wang, Wenjuan Xi +3

Tracking living cells in video sequence is difficult, because of cell morphology and high similarities between cells. Tracking-by-detection methods are widely used in multi-cell tr…

cs.CV2019

FPGA-based Binocular Image Feature Extraction and Matching System

Qi Ni, Fei Wang, Ziwei Zhao +1

Image feature extraction and matching is a fundamental but computation intensive task in machine vision. This paper proposes a novel FPGA-based embedded system to accelerate featur…

cs.CV2019

Learning Cascaded Siamese Networks for High Performance Visual Tracking

Peng Gao, Yipeng Ma, Ruyue Yuan +2

Visual tracking is one of the most challenging computer vision problems. In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siames…

cs.CV2019★ 104 cited

Siamese Attentional Keypoint Network for High Performance Visual Tracking

Peng Gao, Ruyue Yuan, Fei Wang +3

In this paper, we investigate the impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism, and the detection component, and propose…

cs.CV2018

FPGA-based Acceleration System for Visual Tracking

Ke Song, Chun Yuan, Peng Gao +1

Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-tim…

cs.CV2018

Efficient Multi-level Correlating for Visual Tracking

Yipeng Ma, Chun Yuan, Peng Gao +1

Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimizatio…

cs.CV2018★ 4 cited

A Novel Parallel Ray-Casting Algorithm

Yan Zhang, Peng Gao, Xiao-Qing Li

The Ray-Casting algorithm is an important method for fast real-time surface display from 3D medical images. Based on the Ray-Casting algorithm, a novel parallel Ray-Casting algorit…

cs.CV2018★ 3 cited

A Novel Low-cost FPGA-based Real-time Object Tracking System

Peng Gao, Ruyue Yuan, Zhicong Lin +2

In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power. Therefore, in…

cs.CV2018★ 27 cited

High Performance Visual Tracking with Circular and Structural Operators

Peng Gao, Yipeng Ma, Ke Song +4

In this paper, a novel circular and structural operator tracker (CSOT) is proposed for high performance visual tracking, it not only possesses the powerful discriminative capabilit…

cs.CV2018★ 2 cited

A Complementary Tracking Model with Multiple Features

Peng Gao, Yipeng Ma, Chao Li +3

Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.…

cs.CV2018★ 5 cited

Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking

Peng Gao, Yipeng Ma, Ke Song +3

Compared with visible object tracking, thermal infrared (TIR) object tracking can track an arbitrary target in total darkness since it cannot be influenced by illumination variatio…