Detect Irregular moving objects and tracking based on color and shape in Real-Time
Self-Paced Projects
Fee: ₹499
The project aims to develop a real-time system that can detect irregular moving objects and track them based on their color and shape. The system will utilize computer vision techniques to process video streams captured by a camera and identify objects of interest. The project will involve designing and implementing an algorithm that can distinguish between regular and irregular objects and track their movements.
Objectives
the project for detecting and tracking irregular moving objects based on color and shape in real-time is a challenging but important task with various applications in the field of surveillance. The expected outcome of this project is a system that can process video streams from multiple cameras in real-time, detect and track objects of interest based on their color and shape, and provide a graphical user interface for system configuration and monitoring. With its robust performance in cluttered environments and easy-to-use interface, the system has the potential to significantly improve the efficiency and effectiveness of surveillance systems.
To develop an algorithm that can detect irregular moving objects in real-time.
To track the detected objects based on their color and shape.
To integrate the system with a camera to capture video streams and process them in real-time
To evaluate the performance of the system and optimize its accuracy and speed.
What Will You Learn
Computer vision techniques for object detection and tracking. Algorithm design and optimization for real-time processing. Integration of hardware and software systems. Evaluation and optimization of system performance. Documentation and project management.
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