Video Object Detection

What is Video Object Detection ?

Video Object Detection is a computer vision technique that enables the identification and tracking of objects within video streams or sequences in real-time. It extends object detection from static images to dynamic video content, allowing for continuous detection and tracking of objects across frames. This technology is powered by Transformers.js, making it efficient and scalable for various applications like surveillance, autonomous vehicles, and robotics.

Features

• Real-time detection: Detect objects instantly as the video plays. • High accuracy: Leverage advanced models for precise object recognition. • Multiple object tracking: Track multiple objects simultaneously across frames. • Support for various formats: Compatible with different video resolutions, frame rates, and formats. • Customizable: Integrate custom models or parameters for specific use cases.

How to use Video Object Detection ?

1. Install the library: Use Transformers.js to integrate object detection into your project.
2. Initialize the detector: Set up the detection model with your preferred configuration.
3. Load the video stream: Input your video file or live feed into the system.
4. Process each frame: The detector analyzes each frame and identifies objects.
5. Obtain results: Get bounding boxes, class labels, and confidence scores for detected objects.
6. Release resources: Clean up after processing to free up system resources.

Frequently Asked Questions

What video formats are supported?
Video Object Detection supports MP4, AVI, MOV, and most common video formats.

Can it work with live video streams?
Yes, it can process live streams from cameras or other real-time sources.

What are the minimum system requirements?
A modern multi-core CPU or GPU with sufficient RAM (at least 4GB) is recommended for smooth operation.