How Video Analytics Facilitate Object Detection and Identification

Anyone who has ever had to go through hours of footage across different frames on a traditional surveillance system knows how inconvenient, time-consuming, and stressful this process can be.

Fortunately, you no longer need to sift through endless hours of footage to detect and track an object—video analytics do it for you.

In the past, identifying a moving object in a video frame was a challenge [1]. However, contemporary video analytics facilitate object detection and identification, which allows businesses to track an object or several objects across different frames.

With object detection and tracking, organizations can quickly locate and follow an object, saving invaluable time in an incident or real-time monitoring solutions.

How Object Detection and Tracking Works

Object detection and tracking are made possible by technology that allows the software to separate a designated object—which could be a person or an inanimate object, such as a purse—from the background and foreground of a video frame.

After the system identifies an object, which could be a suspicious person, vehicle, or item, it can issue alerts for real-time object tracking. The analytics can also provide better incident response because operators can see all video frames simultaneously and across different times, which allows for faster reaction in adverse incidents. 

Since object detection and tracking can be used in combination with other technologies, such as motion sensors and crowd monitoring analytics, it can enhance situational awareness [2]. Single and multi-object tracking analytics are available.

Video Analytics Operate on Deep Intelligence

Video analytics and object detection are possible because of the large amount of data surveillance systems collect. Using deep learning technology, the system can perform smarter operations based on its evaluation of previous data [3]

This means the system can essentially learn the different features of an object and create an accurate search based on these features. As a result, analytics empower operators to sift through vast amounts of footage in seconds to locate a specific person or object.

However, object identification is only part of the process. The system must then track the object, even if it is partially or completely obstructed in a video frame. Once the system identifies an object, it can use algorithms based on visual data to create a database, which helps the software accurately identify and track an object.

Deep learning and continued data collection allow the software to understand the features of different objects and improve its accuracy of object identification and tracking over time.

Benefits of Object Detection and Identification

Object detection and identification can be used in real-time as well as before or after an incident. While real-time alerts can notify security teams of suspicious objects or people, they can also be invaluable when searching for evidence after an event.

A variety of industries can benefit from object detection and tracking, including robotics and intelligent monitoring applications [4]. As the system can solve problems, allowing it to track objects even when in motion or when the appearance changes due to the object’s environment and the camera’s range of view, it can support a variety of industries.

Object tracking can also help analyze abnormal behavior and assist security when identifying suspicious parties or searching for evidence in a crime or suspected crime.

Have You Implemented Video Analytics Yet?

If you haven’t implemented video analytics, including object detection and tracking, you could be missing out on a crucial segment of your surveillance to benefit your business. Find out more about our video analytics solutions by contacting Surveillance Secure at (877) 388-1248.



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