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Version: V12

Understanding Automatic Person Detection and Tracker

Automatic person detection is a crucial technology that can enhance surveillance systems' capabilities, particularly in high-crime areas. VIDIZMO's AI Indexer is an innovative solution that can automatically detect individuals in surveillance videos, improving the searchability of individuals within a video, even if they appear at different times and angles.

VIDIZMO's AI Indexer uses machine learning algorithms to detect individuals across a single class - "person" - in surveillance videos that may contain cross-crime scenes from CCTV footage. The technology allows the indexer to quickly and accurately read individuals within videos without the need for human intervention.

When a video is inputted into the indexer, it starts a workflow activity that takes some time to detect individuals in the video. The processing time may vary depending on the video quality, duration, and resolution. Once the detection is complete, the user can navigate to Studio Space and view all the detected individuals. The user can also redact any sensitive information using the redaction feature.

The ability to automatically detect individuals in surveillance videos can significantly improve surveillance systems' effectiveness. By automating the detection process, surveillance professionals can focus on more critical tasks, such as analyzing suspicious activities and identifying potential threats. With VIDIZMO's AI Indexer, organizations can enhance their surveillance capabilities and ensure a safer and more secure environment.

Concept​

Automatic person detection employs machine learning algorithms to detect humans across a single class i.e., "person" in videos that frequently include cross crime scenes from CCTV footages mainly. This automatic Person Detection technique enables VIDIZMO indexer to read individuals quickly and automatically, without the need for human intervention.

VIDIZMO takes videos captured that may contain individuals or CCTV video recordings containing individuals as input. The indexer takes the video and detects individuals that appear within the video at different timestamps with different angle views and classifies them as "person".

VIDIZMO indexer takes video as input. Indexer starts a workflow activity that takes some time to detect individuals in video. Video processing time may vary as it depends on factors such as video quality, duration, and resolution. Once the detection is complete, the user can see the detected individuals by navigating to Studio Space and redact all the detected individuals.

To understand redaction in detail, see Understanding Redaction using Studio Space.

Person Detection Improvement by 25%​

The person detection AI model has been updated, resulting in a 25% increase in its accuracy.

This update means that the AI model is now even better at detecting people in images and videos, with fewer false positives and false negatives. This improvement is especially crucial for security and surveillance applications where accurate identification and tracking of people are essential.

  1. Improved accuracy: With the improved person detection, you can expect more accurate and reliable identification of individuals in different types of videos, such as CCTV, dashcam, body cam, and mobile captured footage.
  2. Better organization and management of digital evidence: The improved person detection can enable the efficient and effective organization and management of digital evidence, allowing you to more easily identify, classify, and access the relevant information.
  3. Enhanced collaboration: Improved person detection can help to facilitate collaboration and communication among different departments, organizations, and stakeholders, as well as enable more accurate and reliable information sharing and analysis.
  4. Better support for investigations: With improved person detection, you can more effectively extract information from different types of video footage, such as facial recognition, movement patterns, and demographics, which can be valuable in various investigations, such as criminal cases, accidents, and incidents.
  5. Increased efficiency: Improved person detection can result in more efficient and effective use of your VIDIZMO Digital Evidence Management System, reducing the time and resources required for manual review and analysis.

Tracker Performance Improvement​

The person tracker has been updated to use the ByteTrack algorithm, resulting in a significant improvement in performance.

With this update, the person tracker is now even more accurate and efficient at tracking people in video footage. By using the ByteTrack algorithm, the precision and speed of the person tracker has been improved, which means that you can rely on it to accurately track people in real-time.

This update also means that the product is now more optimized and uses fewer resources, making it a more lightweight and efficient solution for your tracking needs. Whether you're using it for security, surveillance, or any other application, you'll notice a significant improvement in the speed and accuracy of the person tracker.

For more information about model size, confidence threshold, and tracking frames, see Configuring VIDIZMO Vision Indexer for Object Detection.

See Also​

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