1. Introduction
  1.1 Background and Motivation
  1.2 Objectives and Scope
  1.3 Challenges in Real-Time Video Processing for Surveillance
2. Literature Review
  2.1 Video Processing Algorithms for Surveillance
  2.2 Real-Time Object Detection and Tracking
  2.3 Performance Metrics for Surveillance Systems
3. Algorithm Optimization
  3.1 Object Detection and Recognition
  3.2 Motion Tracking and Analysis
  3.3 Real-Time Video Analytics
4. Experimental Setup
  4.1 Surveillance Camera and Video Dataset
  4.2 Benchmarking and Performance Evaluation
5. Optimization Techniques
  5.1 Parallel Processing and Hardware Acceleration
  5.2 Algorithmic Optimization and Feature Extraction
  5.3 Latency Reduction and Streamlining