Automatic Vehicle Detection & Tracking

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Automatic vehicle detection & tracking

Automatic Vehicle Detection & Tracking

Automatic vehicle detection & tracking dot net project report,The robust tracking system for aerial surveillance is one of the important challenge in computer vision due to its large uncertainty. We tackle this problem by providing an approach for automatic vehicle detection and tracking for aerial surveillance. Click here to get complete Dot Net projects lists.
 
The proposed system includes feature extraction, color transformation, Dynamic Bayesian Network (DBN) and post processing. Support Vector machine is constructed for the classification purpose. Finally the results of detection after post processing are provided as input to the tracking system. To effectively handle the, tracking process the Graph cuts and the 2D parametric motion models. Student project on Automatic vehicle. 

Conclusion

In this paper, we proposed an automatic vehicle detection system dot net project report for aerial surveillance that does not assume any prior information of camera heights and vehicle sizes and aspect ratios. Instead of the region based classification, we have proposed a pixelwise classification method for the vehicle detection using DBNs. The extraction processes comprise not only pixel level information but also region level information. 

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database                          : MYSQL

Project Name Automatic Vehicle Detection & Tracking
Project Category Dot Net
Project Cost 65$/ Rs 4999
Delivery Time 48 Hour
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