DESIGN OF OBJECT TRACKING ALGORITHM BASED ON MEAN-SHIFT WITH OPTIMIZATION USING SIMULATED ANNEALING
The mean-shift algorithm is a simple and fast object tracking algorithm, this advantage is obtained because the mean-shift algorithm does not take all image pixels as input for algorithms. This algorithm only considers the pixels in object area being tracked, so that the computational load of thi...
Saved in:
Main Author: | Ardiansyah, Aris |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/36653 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
EVELOPMENT OF MEAN-SHIFT BASED FACE TRACKING SYSTEM WITH LOCUST SEARCH ALGORITHM OPTIMIZATION
by: Retno Hardini, Inkreswari -
Pareto Simulated Annealing (SA)-based multi-objective optimization for mems design and application
by: Ong, A.O., et al.
Published: (2014) -
A simulated annealing-based optimization algorithm for process planning
by: Ma, G.H., et al.
Published: (2014) -
Real-time vehicle detection and tracking using a mean-shift based blob analysis and tracking approach
by: Bedruz, Rhen Anjerome, et al.
Published: (2017) -
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE
by: F. S. (NIM : 10109082); pembimbing : DR. JANSON NAIBORHU, CHRISTINE