# visual tracking ref

**URL:** <http://discourse.iapct.org/t/visual-tracking-ref/15366>\
**Category:** CSG1993\
**Created:** [September 1, 1993, 6:03pm UTC](http://discourse.iapct.org/t/visual-tracking-ref/15366 "1993-09-01T18:03:48Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![bnhpct](http://discourse.iapct.org/user_avatar/discourse.iapct.org/bnhpct/32/34_2.png) [@bnhpct](http://discourse.iapct.org/u/bnhpct)\
**Post date:** [September 1, 1993, 6:03pm UTC](http://discourse.iapct.org/t/visual-tracking-ref/15366/1 "1993-09-01T18:03:48Z")

</div>

[From: Bruce Nevin (Wed 93091 13:41:53 EDT)]

The following is from an MIT announcement. I know nothing else about it,  
sorry.

&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bruce

> **···**
>
> -=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-=+=-
> 
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Philip McLauchlan
> 
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Oxford University
> 
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Reactions to Motion on a Head/Eye Platform
> 
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ABSTRACT
> 
> &nbsp;&nbsp;&nbsp;&nbsp;I shall describe the design and realization of a visual feedback  
> loop for the exploration of reactions to motion on a high performance  
> head/eye platform, with applications in autonomous surveillance,  
> navigation and telepresence. The vision system incorporates a simple  
> model of peripheral and foveal vision, the division being a  
> straightforward one between two scales and two broad functions:  
> detection of new motion and tracking of already detected motion. The  
> aim has been to create simple self-contained motion sensors which run  
> concurrently, quickly and with minimal latency. A video will  
> demonstrate several motion responses: the initiation of motion  
> saccades, a panic response to looming, the opto-kinetic reflex and  
> smooth pursuit. All the motion algorithms run at frame-rate (25Hz) on  
> subsampled/windowed image data, with latencies around 100ms.
> 
> &nbsp;&nbsp;&nbsp;&nbsp;Our work has highlighted the need for efficient algorithms to  
> perform a wide range of visual tasks. I have discovered that a number  
> of estimation problems that involve feature tracking can be posited in  
> a common framework so that the computational complexity of the task is  
> linear with the number of tracked features, making real-time  
> performance feasible. I describe this framework, called the variable  
> state dimension filter (VSDF), and its application to online camera  
> calibration, structure from motion and egomotion determination.
> 
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