GPU-Accelerated Object Tracking Using Particle Filtering and Appearance-Adaptive Models

Bogusław Rymut; Bogdan Kwolek

doi:10.1007/978-3-642-16295-4_39

ScienceGate Book Chapters

BOOK-CHAPTER

GPU-Accelerated Object Tracking Using Particle Filtering and Appearance-Adaptive Models

Bogusław Rymut Bogdan Kwolek

Year: 2010 Advances in intelligent and soft computing Pages: 337-344 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-16295-4_39

Get Full-Text PDF Get Analytical Report

Keywords:

CUDA Particle filter Computer science Tracking (education) Computation Focus (optics) Object (grammar) Video tracking Parallel computing Particle (ecology) Computational science General-purpose computing on graphics processing units Filter (signal processing) Computer vision Computer graphics (images) Artificial intelligence Algorithm Graphics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.01

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

GPU-Accelerated Object Tracking Using Particle Filtering and Appearance-Adaptive Models

Metrics

Citation History

Topics

Related Documents

GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization

Parallel Appearance-Adaptive Models for Real-Time Object Tracking Using Particle Swarm Optimization

GPU accelerated novel particle filtering method

Visual Object Tracking using Particle Filtering with Dual Manifold Models

Robust Single Object Visual Tracking Using Yolo Object Detection and Adaptive Particle Filtering