Home > Intelligent Video > Opinions On Intelligent Video: Greatest Challenges

Opinions On Intelligent Video: Greatest Challenges

Point Five: An end user organizations’ biggest video surveillance challenges are:

  • Image quality, both in terms of captured video (dirty lenses, out of focus, poor resolution), and in terms of recorded images (corrupt tapes or digitally compressed images – which lose quality)
  • Interoperability. The best cameras for certain uses may not be controlled by the same controllers already deployed in the command centers. Mixing analog and IP cameras complicates controlling and recording.
  • Image recording, archiving, retrieval.

Agree? Disagree?


Categories: Intelligent Video
  1. Steve Surfaro
    January 3, 2007 at 8:18 am

    Hey there…I noticed this is your 3rd topic on Intelligent Video, so I decided to contribute. Yes, image quality is the #1 obstacle to recognizing a behavior and apply an analytic. There are many analytics used in intelligent video and no one manufacturer has a complete suite of them; however, the biggest challenge IMHO is what you do with the data after the analytic is applied. Real-time recognition is beneficial; the ability to mine the data associated with multiple recognition events is beneficial and more desirable in a situation where you wish to be proactive and predict, rather than react.

  2. January 7, 2007 at 6:18 pm

    I agree in principle, Steve S. But 99% of all users of analytics today and tomorrow will use it as a replacement of or complement to human eyes for real-time video analysis. Get too fancy and engineer yourself out of the market…

  3. Wes
    January 8, 2007 at 6:46 am

    I would also have to say PC requirements are also a challenge. I have found, from the software I have tested, that a high-end PC is required when running Intelligent Video Surveillance software. This is especially the case when running 4 or 5+ cameras.
    Of course having the video analytics built into the camera or video server would remove this challenge.

  4. January 16, 2007 at 6:43 pm

    Every day and more and more I see clients that have interest in the so called “world of Video Analytics” they all have experienced the pain of the leader ….first users and demand now a way to “connect the dots” and reduce or cluster the events. On larger deployments I get the same request how can we do that ?
    I agree with you on the challanges but let us not forget that the clustering of video data or connecting the dots among systems (and we are not talking only on systems for video security) is paramount for the IV market to pick up speed. Some companies in the arena have great products but at the end of the day the problems persist. Video Analytics within the cameras are a great idea.. but I ask can you place multiple rules and a true brain on a camera? note a true brain should distinguish what is a minor from a major alarm or a sequence but so far all they do is getting the alarm and are unable to cluster. Getting info from the video feeds, meaning getting a sense of what is really going on, is true Intelligence on Video and the 4rth generation of CCTV is not so far away.

  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: