Dissertation > Excellent graduate degree dissertation topics show
Multi-target tracking algorithm
Author: MaWeiZhang
Tutor: MaBo
School: Beijing Institute of Technology
Course: Computer Science and Technology
Keywords: Video multi-target tracking Random sets PHD filter boosting Two of Relevance
CLC: TN953
Type: Master's thesis
Year: 2011
Downloads: 237
Quote: 0
Read: Download Dissertation
Abstract
Related Dissertations
- Telecom customer loyalty analysis and prediction,F626
- The Study of Magnetic Drived Supercharging System for High Pressure Water Injection in Oilfield,TE934.1
- Boosting technology research for the perception of wilderness environment initiative,TP242.6
- Shanghai Study on the Effects about Government Boost in the Development of Agricultural Insurance,F842.6
- Effects of the Therapeutic Principles of Qi-Boosting Toxin-Resolving on Cytoskeletal Protein Systems of Nasopharyngeal Carcinoma Cells and Their Implications in the Potentiality of Motility among These Cells,R273.63
- The Research of Ensemble Learning Based on Particle Swarm Optimization Algorithm,TP391.41
- Research of E-mail Filtering Based on Bayes Technology,TP393.098
- Study on the Technology of Pedestrian Detection Based on Machine Learning,TP391.41
- Research on Automatic Recognition of Database Workload and Self-Managed Database,TP311.13
- Recognition and Application of Multiple Classifier under the Distributed Environment,TP391.4
- Image-based age estimation and face age image reconstruction,TP391.41
- Boosting Algorithm Research and Its Application in Spectrum Analysis,TP183
- Analyzing and Predicting Customer’s Churn in Telecommunications Industry Using Data Mining,TP399
- Signature Verification Incorporating the Prior Model,TP391.4
- The Interpretation of Some Uncertainty Measures in Rough Set Theory,O159
- Application of Water-flooded Zone Identifying Based on Computational Learning,TP391.4
- Medical Image Retrieval,R318
- Research on Key Technologies of Robust Face Tracking System,TP391.41
- Some Properties of the Random Membership Functions and the Combination Rules via Random Set Formulation,O211.5
- Artificial Neural Networks in brushless DC motor,TM33
CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar tracking system
© 2012 www.DissertationTopic.Net Mobile
|