Results 261 to 270 of about 872,401 (290)

Feature-aided particle tracking

2008 15th IEEE International Conference on Image Processing, 2008
We present a new feature-aided tracking algorithm dedicated to the task of tracking multiple and closely-spaced biological particles. We propose a new function to score associations, based on kinetic models, and enriched with an additional feature. This feature is based on adaptive profiles and the physical properties of the acquisition system.
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe Olivo-Marin   +2 more
openaire   +1 more source

Reduction of the uncertainty in feature tracking

Applied Intelligence, 2018
It is difficult to establish feature correspondences between distant viewpoints for panoramic images. For reliable navigation and development a human-like capability of interaction with the surrounding environment, we need a method of reduction of the uncertainty in feature tracking.
Anna A. Gorbenko, Vladimir Yu. Popov
openaire   +1 more source

Perceptual tracking of edge features

Proceedings of 1st International Conference on Image Processing, 2002
Presents an approach for extracting edge features directly from grey-level images. The approach is based on the principle of perceptual organization, which simulates to human visual process on edge perception in certain aspects. >
openaire   +1 more source

Feature Tracking with Skeleton Graphs

2003
A way to analyse large time-dependent data sets is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, feature tracking, event detection, and visualization.
Benjamin Vrolijk, Freek Reinders, Frits H. Post   +2 more
openaire   +1 more source

Online selection of discriminative tracking features

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
This paper presents an online feature selection mechanism for evaluating multiple features while tracking and adjusting the set of features used to improve tracking performance. Our hypothesis is that the features that best discriminate between object and background are also best for tracking the object.
Robert T. Collins, Yanxi Liu 0001, Marius Leordeanu   +2 more
openaire   +2 more sources

Feature Tracking

2022
Luiz Velho, Bruno Madeira
openaire   +1 more source

Quality-Aware Feature Aggregation Network for Robust RGBT Tracking

IEEE Transactions on Intelligent Vehicles, 2021
Yabin Zhu, Chenglong Li, Jin Tang
exaly  

Dynamic feature fusion with spatial-temporal context for robust object tracking

Pattern Recognition, 2022
Ke Nai, Zhiyong Li, Haidong Wang
exaly  

Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network

Journal of Manufacturing Processes, 2022
Zhen Hou
exaly  

Joint Correlation and Attention Based Feature Fusion Network for Accurate Visual Tracking

IEEE Transactions on Image Processing, 2023
Yijin Yang, Xiaodong Gu
exaly