Results 31 to 40 of about 346,319 (275)
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
A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving
Applied Sciences, 2022 Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding ...
Shuman Guo +7 more
doaj +1 more source
Online Metric-Weighted Linear Representations for Robust Visual Tracking
, 2015 In this paper, we propose a visual tracker based on a metric-weighted linear representation of appearance. In order to capture the interdependence of different feature dimensions, we develop two online distance metric learning methods using proximity ...
Dick, Anthony +4 more
core +1 more source
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
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector
, 2018 Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different road users that move across the field of view with different directions and speeds and that can have varying appearances and sizes.
B Coifman +7 more
core +1 more source
Online Object Tracking with Proposal Selection [PDF]
, 2015 Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time.
Alahari, Karteek +2 more
core +6 more sources
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
Kernalised Multi-resolution Convnet for Visual Tracking
, 2017 Visual tracking is intrinsically a temporal problem. Discriminative Correlation Filters (DCF) have demonstrated excellent performance for high-speed generic visual object tracking.
Li, Xia, Wu, Di, Zhao, Yong, Zou, Wenbin
core +1 more source
Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding [PDF]
, 2010 The perception of persisting visual objects is mediated by transient intermediate representations, object files, that are instantiated in response to some, but not all, visual trajectories.
Fields, Chris
core +3 more sources