mansooralodhi/cvpolytracker

2D polygons shape detection against statuc background. Later, tracking and recognizing those shapes based on unique id.

Objective

Detect and track 2D polygons against static background using basic libraries.

Key Features

• Custom Environment Setup

  • Cemera
  • Background
  • Shapes

• Polygon Detection

• Polygon Shape Recognition

• Polygon Tracking

Problems Addressed

• Objects overlapping/collision during detection.

• Minimum object distance treshold during tracking.

• Similar polygon shapes approximation.

Libraries

• cv2
• scipy
• numpy
• skimage

Learning Outcome

Understand the underlying logic behind complex algorithms performing object detection and tracking.