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The Visual Object Tracking VOT2015 Challenge Results [PDF]
2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work
Kristan, Matej +126 more
openaire +13 more sources
A Novel Low-cost FPGA-based Real-time Object Tracking System
, 2017 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.
Gao, Peng +4 more
core +1 more source
Comparative Object Similarity Learning-Based Robust Visual Tracking
IEEE Access, 2019 Tracking-by-detection for visual object tracking is the most popular and successful framework at present. It treats the tracking problem as a classification task and learns information about the target from each tracking result online.
Weiming Yang +3 more
doaj +1 more source
Long-Term Visual Object Tracking Benchmark
, 2019 We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration of over 400 minutes (676K frames), making it more ...
AW Smeulders +19 more
core +1 more source
Conditional random field tracking model based on a visual long short term memory network
Journal of Electronic Science and Technology, 2020 In dense pedestrian tracking, frequent object occlusions and close distances between objects cause difficulty when accurately estimating object trajectories.
Pei-Xin Liu +3 more
doaj +1 more source
Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update [PDF]
, 2016 Appearance representation and the observation model are the most important components in designing a robust visual tracking algorithm for video-based sensors.
Gao, Changxin +3 more
core +3 more sources
Confidence-Guided Frame Skipping to Enhance Object Tracking Speed
SensorsObject tracking is a challenging task in computer vision. While simple tracking methods offer fast speeds, they often fail to track targets. To address this issue, traditional methods typically rely on complex algorithms.
Yun Gu Lee
doaj +1 more source
International Journal of Advanced Robotic Systems, 2021 Visual tracking is fundamental in computer vision tasks. The Siamese-based trackers have shown surprising effectiveness in recent years. However, two points have been neglected: firstly, few of them focus on fusing the image level and semantic level ...
Song Guiling +5 more
doaj +1 more source
Spatio-temporal interactive fusion based visual object tracking method
Frontiers in Physics, 2023 Visual object tracking tasks often struggle with utilizing inter-frame correlation information and handling challenges like local occlusion, deformations, and background interference.
Dandan Huang +6 more
doaj +1 more source
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers [PDF]
, 2007 In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved without the exponential increase in storage and processing that other multimodal
Alan Smeaton +11 more
core +1 more source