ScienceGate Book Chapters
Search
About Us
Search
About Us
BOOK-CHAPTER
GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization
Bogusław Rymut
Bogdan Kwolek
Year:
2010
Lecture notes in computer science
Pages:
227-234
Publisher:
Springer Science+Business Media
DOI:
10.1007/978-3-642-15907-7_28
Get Full-Text PDF
Get Analytical Report
Keywords:
Computer science
CUDA
Particle swarm optimization
Graphics processing unit
Tracking (education)
Graphics
Video tracking
Object (grammar)
Multi-swarm optimization
Central processing unit
Computer vision
Computer graphics
General-purpose computing on graphics processing units
Artificial intelligence
Parallel computing
Computer graphics (images)
Algorithm
Computer hardware
Metrics
17
Cited By
1.62
FWCI (Field Weighted Citation Impact)
13
Refs
0.85
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
Advanced Image and Video Retrieval Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Related Documents
BOOK-CHAPTER
Parallel Appearance-Adaptive Models for Real-Time Object Tracking Using Particle Swarm Optimization
Bogusław Rymut
Bogdan Kwolek
Lecture notes in computer science
Year:
2011
Pages:
455-464
BOOK-CHAPTER
GPU-Accelerated Object Tracking Using Particle Filtering and Appearance-Adaptive Models
Bogusław Rymut
Bogdan Kwolek
Advances in intelligent and soft computing
Year:
2010
Pages:
337-344
JOURNAL ARTICLE
Adaptive Object Tracking using Particle Swarm Optimization
Yuhua Zheng
Yan Meng
Year:
2007
Vol:
2
Pages:
43-48
BOOK-CHAPTER
Object Tracking Using Grayscale Appearance Models and Swarm Based Particle Filter
Bogdan Kwolek
Lecture notes in computer science
Year:
2008
Pages:
433-440
JOURNAL ARTICLE
Multiple Object Tracking Using Particle Swarm Optimization
Chen-Chien Hsu
Guo-Tang Dai
Journal:
Zenodo (CERN European Organization for Nuclear Research)
Year:
2012