Results 11 to 20 of about 438,335 (232)

Single Object Tracking Research: A Survey

CoRR, 2022
Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has many challenges, e.g., object occlusion and deformation. To solve above problems and track the target accurately and efficiently, many tracking algorithms have emerged in ...
Ruize Han, Wei Feng 0005, Qing Guo 0005, Qinghua Hu   +3 more
openaire   +2 more sources

Variational Bayes for Robust Radar Single Object Tracking

2022 IEEE Workshop on Signal Processing Systems (SiPS), 2022
We address object tracking by radar and the robustness of the current state-of-the-art methods to process outliers. The standard tracking algorithms extract detections from radar image space to use it in the filtering stage. Filtering is performed by a Kalman filter, which assumes Gaussian distributed noise.
Alp Sari, Tak Kaneko, Lense H. M. Swaenen, Wouter M. Kouw   +3 more
openaire   +3 more sources

On-line fusion of trackers for single-object tracking [PDF]

Pattern Recognition, 2018
Abstract Visual object tracking is a fundamental function of computer vision that has been the object of numerous studies. The diversity of the proposed approaches leads to the idea of trying to fuse them and take advantage of their individual strengths while controlling the noise they may introduce in some circumstances.
Leang, Isabelle, Herbin, Stéphane, Girard, Benoît, Droulez, Jacques   +3 more
openaire   +2 more sources

Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification

Applied Sciences, 2019
Tracking objects over time, i.e., identity (ID) consistency, is important when dealing with multiple object tracking (MOT). Especially in complex scenes with occlusion and interaction of objects this is challenging.
Muyu Li, Xin He, Zhonghui Wei, Jun Wang, Zhiya Mu, Arjan Kuijper   +5 more
doaj   +1 more source

A TOOL TO ENHANCE THE CAPACITY FOR DEEP LEARNING BASED OBJECT DETECTION AND TRACKING WITH UAV DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Currently, deployment of UAV has transformed from crucial to day-to-day scenarios for various purposes such as wastage collection, live entertainment, product delivery, town mapping, etc. Object tracking based UAV applications such as traffic monitoring,
A. A. Micheal, K. Vani, S. Sanjeevi, C.-H. Lin   +3 more
doaj   +1 more source

Hierarchical fuzzy logic based approach for object tracking [PDF]

, 2013
In this paper a novel tracking approach based on fuzzy concepts is introduced. A methodology for both single and multiple object tracking is presented.
Couto, Pedro M., Jurio, Aranzazu, Lopes, Nuno Vieira, Melo-Pinto, Pedro   +3 more
core   +1 more source

SMOT: Single-Shot Multi Object Tracking

CoRR, 2020
We present single-shot multi-object tracker (SMOT), a new tracking framework that converts any single-shot detector (SSD) model into an online multiple object tracker, which emphasizes simultaneously detecting and tracking of the object paths. Contrary to the existing tracking by detection approaches which suffer from errors made by the object ...
Wei Li 0044, Yuanjun Xiong, Shuo Yang 0003, Siqi Deng, Wei Xia   +4 more
openaire   +2 more sources

3D Single Object Tracking with Multi-View Unsupervised Center Uncertainty Learning

CAAI Artificial Intelligence Research, 2023
Center point localization is a major factor affecting the performance of 3D single object tracking. Point clouds themselves are a set of discrete points on the local surface of an object, and there is also a lot of noise in the labeling.
Chengpeng Zhong, Hui Shuai, Jiaqing Fan, Kaihua Zhang, Qingshan Liu   +4 more
doaj   +1 more source

Semantic and context features integration for robust object tracking

IET Image Processing, 2022
Siamese network‐based object tracking learns features of a target object marked in the first frame and that of the object in subsequent frames simultaneously and then measures similarity between two features to recognize and locate the object.
Jinzhen Yao, Jianlin Zhang, Zhixing Wang, Linsong Shao   +3 more
doaj   +1 more source

Vision-based toddler tracking at home [PDF]

, 2007
This paper presents a vision-based toddler tracking system for detecting risk factors of a toddler's fall within the home environment. The risk factors have environmental and behavioral aspects and the research in this paper focuses on the behavioral ...
Na, H, Qin, SF, Wright, D
core   +1 more source