VideoIQ analytics vs. advanced motion detection

November 2013 CCTV, Surveillance & Remote Monitoring

Many people love our analytics, but few truly understand them. Most misconceptions spur from a misunderstanding of how VideoIQ analytics function versus the numerous advanced motion detection alternatives. To truly comprehend the differences, we must first examine the basics.

Advanced motion detection systems rely mostly on pixel change analysis, sometimes complemented with simple algorithms. To put it simply, each camera has a field of view with (usually) a consistent background. When a certain number of pixels deviate from the norm, an alarm is triggered. On a calm, sunny day, such an approach can be quite effective, however, this can quickly become troublesome in challenging conditions. When a tree is shaking in the wind or snow is falling, many pixels are changing at once, often resulting in false alarms. Furthermore, the camera cannot determine a static background and detection begins to break down as it struggles to determine what’s deviating from the background and what is the background.

Justin Mahoney, VideoIQ
Justin Mahoney, VideoIQ

Similarly, our analytics use pixel change to detect the first sign of a threat. However, rather than immediately identifying the object as a threat, our cameras think, comparing the object’s appearance and the way it moves, to an immense database of images and video.

Red boxes indicate the object is a person, while blue boxes are placed around vehicles. If the camera cannot immediately classify the object, users will see a yellow bounding box appear, indicating a suspicious object – the camera’s way of saying, “I know it’s there, I just don’t know what it is yet”. The camera will then watch the object for a few more frames, gathering the necessary information to properly classify it or ignore it if it fails to match human or vehicle criteria.

While most of the time the camera immediately identifies the object, taking a few extra frames to decide when uncertain can drastically reduce false alarms with negligible impact to alert time.

The final differentiator is VideoIQ’s rules. While advanced motion detection will set off an alarm nearly every time an animal or car moves through the field of view, VideoIQ users can configure rules to only alert them in certain scenarios.

Perhaps the camera watches a railroad for people walking on the tracks. A motion-based system would be riddled with false alarms as each train passing would trigger an event. On the other hand, a VideoIQ camera or encoder could be told to ignore vehicles and only send alerts for people entering that region of interest. Such rules can be used alone or in conjunction with one another to create specific alerts based on things like dwell time or direction of travel.

While I’ve barely scratched the surface, the above is a simplistic way of differentiating our technology from advanced motion detection. Watch the video to see how VideoIQ analytics can battle the harshest conditions and still deliver superior results: securitysa.com/*VideoIQ1

For more information contact VideoIQ Africa, 0861 VIDEOIQ,  info@videoiq.co.za, www.videoiq.co.za





Share this article:
Share via emailShare via LinkedInPrint this page



Further reading:

Reinventing network camera security
Issue 1 2020, Axis Communications SA , CCTV, Surveillance & Remote Monitoring
Now in its seventh generation and celebrating its 20th anniversary, the Axis ARTPEC chip was launched in 1999 designed to optimise network video.

Read more...
Cloud-based fleet and driver management
Issue 1 2020, Graphic Image Technologies , CCTV, Surveillance & Remote Monitoring
Graphic Image Technologies (GIT) has announced the availability of a cloud-based dashcam designed to improve on-the-road behaviour and assist in improving fleet management.

Read more...
Cathexis specialises in integration
Issue 1 2020, Cathexis Technologies , CCTV, Surveillance & Remote Monitoring
The integration of multiple systems is intrinsic and essential to the goal of creating an effective and efficient operational environment.

Read more...
Do wireless networks meet modern surveillance demands?
Issue 1 2020, Duxbury Networking, RADWIN , CCTV, Surveillance & Remote Monitoring
It is predicted that video will account for 15,1 zettabytes (1 zettabyte = 1 trillion gigabytes) of data annually, which is more than any other IoT application.

Read more...
Traffic doesn’t have to be this way
Issue 1 2020, Dahua Technology South Africa, Axis Communications SA , CCTV, Surveillance & Remote Monitoring
More effective traffic management is something that would save us all a lot of frustration and wasted time, and it’s one of the areas where AI and big data can have a significant impact.

Read more...
Dahua launches Hunter Series
Issue 1 2020, Dahua Technology South Africa , CCTV, Surveillance & Remote Monitoring
Dahua launches a new dual-PTZ camera that enables flexible and multi-scene panoramic monitoring.

Read more...
8 MP fisheye camera
Issue 1 2020, Dallmeier Electronic Southern Africa , CCTV, Surveillance & Remote Monitoring
Dallmeier’s new 8 MP fisheye camera combines AI-supported object classification and H.265 in a compact design.

Read more...
Using ANPR to enhance security
Issue 1 2020, Duxbury Networking , CCTV, Surveillance & Remote Monitoring
Deep learning and AI-based algorithms enable ANPR cameras and their associated software to detect and recognise number plates with an extremely high level of accuracy.

Read more...
AI supercharges surveillance
Issue 1 2020 , CCTV, Surveillance & Remote Monitoring
The ability to analyse live video through AI techniques means that untapped footage from existing, passive cameras can be used to identify patterns, trends and anomalies.

Read more...
IDIS launches new cameras with on-board analytics
Issue 1 2020 , CCTV, Surveillance & Remote Monitoring
IDIS has launched a lineup of Edge VA bullet and dome cameras, featuring on-board analytics that will transform the efficiency of security operations.

Read more...