Object Detection & Tracking

Overview

Built systems for detecting and tracking objects using feature-based methods and tracking algorithms.

Responsibilities

• Implemented feature-based detection pipelines
• Designed multi-object tracking logic
• Optimized performance for real-time processing

Approach

• Feature extraction (ORB/SIFT-like)
• Matching across frames
• Tracking with motion consistency

Pipeline

flowchart LR
    A[Input Frames] --> B[Feature Extraction]
    B --> C[Feature Matching]
    C --> D[Object Association]
    D --> E[Tracking Output]

Tech

OpenCV · NumPy · Feature Matching

Impact

• Achieved stable tracking across multiple frames
• Improved robustness against occlusion and motion
• Enabled downstream analytics applications