[KP] Ram Nevatia's upcoming talk

[Yigal Arens]

I mentioned Ram's work on identifying events from sensory observations 
at a recent KP meeting.  I was asked to let people know when his talk 
will be.

It will take place May 16, 10:30am-12noon, probably in the 11th floor 
large conference room, but that is yet TBD.

Yigal

Begin forwarded message:

> From: ram nevatia <nevatia@usc.edu>
> Date: Sun Apr 27, 2003  2:24:59  PM America/Los_Angeles
> To: Jose-Luis Ambite <ambite@ISI.EDU>
> Cc: ambite@ISI.EDU, arens@ISI.EDU, erikabn@ISI.EDU
> Subject: Re: USC/ISI AI Seminar dates
>
>> Please send us the talk title, abstract, and a short bio so that we
>> can announce the seminar.
>>
> Following are what you asked for; let me know if you need more details.
> Ram.
>
>
> Title: Event Recognition in Video Streams
>
> Abstract:
>
> It is important to recognize events of interest in dynamic 
> environments for
> many applications. Video cameras provide a common sensor to view common
> physical environments. This talk will describe recent work at the
> computer vision laboratory of USC on automatic recognition of events 
> from
> video streams. The task is made complicated by the ambiguities inherent
> in imaging sensors and by the allowed variations, in duration and in
> style, for the same event.
>
> The methods we have deveoped are based on stochastic finite state
> automata, similar to the hidden Markov model machines used in
> speech recognition, and based on rigorous Bayesian reasoning.
> We have also developed an early version of
> an "event representation language" to simplify the task of
> specifying desired events for recogntion. This talk will focus
> on the event recognition methods and touch on the image analysis
> aspects only lightly. The methods used for higher-level, complex
> event recognition are relatively independent of sensor modality
> and should apply to outputs of inferences from a variety of
> sensors as well.
>
> Bio:
>
> R. Nevatia recived his Ph.D. from Stanford University. He has been on
> USC faculty since 1975 and currently is Professor of Computer Science
> and Electrical Engineering.
> He is also director of the Institute for Robotics and Intelligent
> Systems on campus.
> He teaches courses in computer vision and in artificial intelligence.
> He has worked on many aspects of computer vision including early
> processing, object description and recognition and more recently
> on event recognition.
>