Results 241 to 250 of about 349,441 (269)

OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Object Tracking (VOT) aims to estimate the positions of target objects in a video sequence, which is an important vision task with various real-world applications. Depending on whether the initial states of target objects are specified by provided annotations in the first frame or the categories, VOT could be classified as instance tracking (e.g.
Zuxuan Wu, Dongdong Chen, Chong Luo
exaly   +3 more sources

Target Aware Visual Object Tracking

2019
We propose a visual object tracker that improves accuracy while significantly decreasing false alarm rate. This is achieved by a late fusion scheme that integrates the motion model of particle sampling with the region proposal network of Mask R-CNN during inference.
Caner Ozer, Filiz Gurkan, Bilge Günsel
openaire   +1 more source

A Robust Framework for Visual Object Tracking

2009 IEEE-RIVF International Conference on Computing and Communication Technologies, 2009
Visual object tracking is an important problem in computer vision. Recent proposed tracking methods based on online learning a discriminative classifier have drawn considerable interest. However, most of existing approaches make a simple assumption about initializing the object to be tracked; on-line adaptation of binary classifier only has to ...
openaire   +1 more source

Efficient framework for extended visual object tracking

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
An algorithm for extending the Bayesian multiple target tracking framework to solve the extended visual object tracking problem using sparse features is proposed. In particular, the state space is divided into two sets: one modeling the global motion of the object and one modeling the movement of every feature point.
M. Soto Alvarez, MARCENARO, LUCIO, REGAZZONI, CARLO   +2 more
openaire   +1 more source

Visual Tracking and Object Recognition

IFAC Proceedings Volumes, 2001
Abstract In this paper, we will discuss the closely related problems of visual tracking and object recognition. The solution involves adaptive and robust control in conjunction with multiscale methods from signal processing, and shape recognition theory from computer vision.
Allen Tannenbaum, Anthony Yezzi, Alex Goldstein   +2 more
openaire   +1 more source

Bayesian Tracking of Visual Objects

2009
Tracking objects in image sequences involves performing motion analysis at the object level, which is becoming an increasingly important technology in a wide range of computer video applications, including video teleconferencing, security and surveillance, video segmentation, and editing.
Nanning Zheng, Jianru Xue
openaire   +1 more source

Tracking Visual Object As An Extended Target

2021 IEEE International Conference on Image Processing (ICIP), 2021
Liang Xu, Ruixin Niu
openaire   +1 more source

Exploring the Effects of Blur and Deblurring to Visual Object Tracking

IEEE Transactions on Image Processing, 2021
Qing Guo, Wei Feng, Yang Liu
exaly  

Visual Object Tracking and Servoing Control of a Nano-Scale Quadrotor: System, Algorithms, and Experiments

IEEE/CAA Journal of Automatica Sinica, 2021
Yuzhen Liu, Ziyang Meng, Yao Zou
exaly  

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan   +2 more
exaly