diff_months: 12

Prepare a  MATLAB code for Multi Object Tracking in aerial thermal video.

Flat 50% Off Order New Solution
Added on: 2023-03-11 10:03:11
Order Code:
Question Task Id: 0

The requirements are as follows:

1. Reading video from the computer in RGB format.

2. Converting RGB video into Grayscale.

3. Setting of thresholds (adaptive thresholding) to transform Grayscale into Binary format.

4. Object detection using Connected Components Labelling in binarized video (frames).

5. Drawing bounding Box and assigning label (unique ID) to each bounding box (detected object).

6. Calculating confidence score for each detected object using assignment problem and auction algorithm (compare each object with other objects and ensure its not the other object).

7. Track all the detected objects using Kalman Filter.

8. The tracker shall be robust to:

a. Handle occlusion and does not switch ID assigned to different detected objects while tracking.

b. Various threshold levels of the thermal video.

9. Calculating accuracy, precision and IoU of the bounding box with ground-truth (annotated box) on a dataset.

  • Uploaded By : Katthy Wills
  • Posted on : March 11th, 2023
  • Downloads : 1
  • Views : 225

Order New Solution

Can't find what you're looking for?

Whatsapp Tap to ChatGet instant assistance

Choose a Plan

Premium

80 USD
  • All in Gold, plus:
  • 30-minute live one-to-one session with an expert
    • Understanding Marking Rubric
    • Understanding task requirements
    • Structuring & Formatting
    • Referencing & Citing
Most
Popular

Gold

30 50 USD
  • Get the Full Used Solution
    (Solution is already submitted and 100% plagiarised.
    Can only be used for reference purposes)
Save 33%

Silver

20 USD
  • Journals
  • Peer-Reviewed Articles
  • Books
  • Various other Data Sources – ProQuest, Informit, Scopus, Academic Search Complete, EBSCO, Exerpta Medica Database, and more