Intelligent Object Detection in Video Using Python and OpenCV

This project showcases how Python and OpenCV can be utilized for object detection in video streams. By applying edge detection and utilizing the Hough Line Transform, the script detects objects in a video, matches them with predefined templates, and provides real-time feedback.
https://github.com/olaiyayomi/Intelligent-Object-Detection-in-Video-using-python-computer-vision-OpenCv-

Objective

To create an intelligent object detection system capable of processing video streams, identifying potential objects, and marking them dynamically using template matching.

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Features

1. Edge Detection:
   • Implements edge detection to isolate features of interest within video frames.
2. Hough Line Transform:
   • Identifies lines and edges, which are critical for detecting objects.
3. Template Matching:
   • Compares video features with predefined object templates to ensure precise detection.
4. Real-Time Feedback:
   • Dynamically marks detected objects in the video, providing immediate visual feedback.
5. Frame-by-Frame Processing:
   • Processes the video in real-time, ensuring no frames are skipped.

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Prerequisites

• Python 3.x
• OpenCV library

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Setup and Installation

1. Ensure Python is installed on your system.
2. Install the required library by running:

   pip install opencv-python

3. Download the object_detection_video.py script and ensure a compatible video file (e.g., lane1.avi) is in the same directory.

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How It Works

1. Input Video Stream: The program processes a video file as input.
2. Edge and Line Detection:
   • Performs edge detection on frames to isolate potential objects.
   • Applies the Hough Line Transform to identify lines that help locate objects.
3. Template Matching:
   • Matches detected features with predefined object templates.
4. Object Marking:
   • Marks detected objects directly on the video frames and displays the output in real time.

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Applications

• Traffic Surveillance: Detect vehicles or objects on roads.
• Automation Systems: Recognize objects in manufacturing or logistics.
• Intelligent Vehicles: Assist with object detection in autonomous systems.
• Video Analytics: Enhance object detection in security footage.

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Project Files

• object_detection_video.py: The main script for processing and detecting objects in video streams.
• Sample Video: lane1.avi for testing object detection.
• Screenshots: Example outputs:
  • Screenshot 2024-01-20 191737.png
  • Screenshot 2024-01-20 191904.png
  • Other examples: c1.png, c2.png, c3.png, c4.png, c5.png, s1.png, s2.png.

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Tags

#Python #OpenCV #ObjectDetection #VideoProcessing #ComputerVision #MachineLearning #TemplateMatching #EdgeDetection #Programming #Coding

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