Cost-Effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web Data

Cost-Effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web Data

₹4,000.00
Product Code: Matlab - Artificial Intelligence
Availability: In Stock
Viewed 644 times

Product Description

Abstract:

        With the rapid development of Intelligent Transportation System (ITS) technologies in recent years, vehicle type recognition (VTR) has been widely applied as a low-cost technology in tolls, transportation statistics, security and crime prevention issues. The early techniques for VTR mainly relied on the detection and recognition of vehicle license plates and logos. In vehicle type recognition, the shape and appearance of vehicles can also be considered to be other features, such as size silhouette dimension and aspect ratio.

        A deep active learning framework for vehicle type recognition is proposed in order to dramatically reduce the burden of large-scale annotation in surveillance data. In the proposed system To overcome the above shortcomings in traditional vehicle identification systems, automated VMMR (Vehicle Make and Model Recognition) techniques have recently gained attention, but without considering processing speed as the primary factor. In this way, automated VMMR systems augment traditional license plate recognition-based vehicle identification systems to further enhance security. Unexplored approaches for VMMR are proposed and evaluated based on the BoSURF framework, in which the dominant features of all makes and models are learned and represented in an optimized dictionary.


Proposed System:

        To overcome the above shortcomings in traditional vehicle identification systems, automated VMMR (Vehicle Make and Model Recognition) techniques have recently gained attention, but without considering processing speed as the primary factor. The make and model of the vehicle recognized by the VMMR system can be crosschecked with the license plate registry to screen for fraud. In this way, automated VMMR systems augment traditional license plate recognition-based vehicle identification systems to further enhance security. Unexplored approaches for VMMR are proposed and evaluated based on the BoSURF framework, in which the dominant features of all makes and models are learned and represented in an optimized dictionary.



When you order from finalyearprojects.in, you will receive a confirmation email. Once your order is shipped, you will be emailed the tracking information for your order's shipment. You can choose your preferred shipping method on the Order Information page during the checkout process.

The total time it takes to receive your order is shown below:

The total delivery time is calculated from the time your order is placed until the time it is delivered to you. Total delivery time is broken down into processing time and shipping time.

Processing time: The time it takes to prepare your item(s) to ship from our warehouse. This includes preparing your items, performing quality checks, and packing for shipment.

Shipping time: The time for your item(s) to tarvel from our warehouse to your destination.

Shipping from your local warehouse is significantly faster. Some charges may apply.

In addition, the transit time depends on where you're located and where your package comes from. If you want to know more information, please contact the customer service. We will settle your problem as soon as possible. Enjoy shopping!

Download Abstract

Click the below button to download the abstract.

Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.