Reading PAGE

Peer Evaluation activity

Trusted by 1
Views 12
Followed by 1

Total impact ?

    Send a

    Giacomo has...

    Trusted 0
    Reviewed 0
    Emailed 0
    Shared/re-used 0
    Discussed 0
    Invited 0
    Collected 0

     

    This was brought to you by:

    block this user Giacomo Indiveri Trusted member

    Associate Professor

    University of Zurich and ETH Zurich

    Active vision using an analog VLSI model of selective attention

    Export to Mendeley

    Detailed processing of sensory information is a computationally demanding task. This is especially true for vision, where the amount of information provided by the sensors typically exceeds the processing capacity of the system. Rather than attempting to process all the sensory data simultaneously, an effective strategy is to focus on subregions of the input space, shifting from one, subregion to the other, in a serial fashion. This strategy is commonly referred to as selective attention. We present a neuromorphic active-vision system, that implements a saliency-based model of selective attention. Visual data is sensed and preprocessed in parallel by a transient imager chip and transmitted to a selective-attention chip. This chip sequentially selects the spatial locations of salient regions in the vision sensor's field of view. A host computer uses the output of the selective-attention chip to drive the motors on which the imager is mounted, and to orient it toward the selected regions. The system's design framework is modular and allows the integration of multiple sensors and multiple selective-attention chips. We present experimental results showing the performance of a two-chip system in response to well-controlled test stimuli and to natural stimuli

    Oh la laClose

    Your session has expired but don’t worry, your message
    has been saved.Please log in and we’ll bring you back
    to this page. You’ll just need to click “Send”.

    Your evaluation is of great value to our authors and readers. Many thanks for your time.

    Review Close

    Short review
    Select a comment
    Select a grade
    You and the author
    Anonymity My review is anonymous( Log in  or  Register )
    publish
    Close

    When you're done, click "publish"

    Only blue fields are mandatory.

    Relation to the author*
    Overall Comment*
    Anonymity* My review is anonymous( Log in  or  Register )
     

    Focus & Objectives*

    Have the objectives and the central topic been clearly introduced?

    Novelty & Originality*

    Do you consider this work to be an interesting contribution to knowledge?

    Arrangement, Transition and Logic

    Are the different sections of this work well arranged and distributed?

    Methodology & Results

    Is the author's methodology relevant to both the objectives and the results?

    Data Settings & Figures

    Were tables and figures appropriate and well conceived?

    References and bibliography

    Is this work well documented and has the bibliography been properly established?

    Writing

    Is this work well written, checked and edited?

    Write Your Review (you can paste text as well)
    Please be civil and constructive. Thank you.


    Grade (optional, N/A by default)

    N/A 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8 8.5 9 9.5 10
    Close

    Your mailing list is currently empty.
    It will build up as you send messages
    and links to your peers.

     No one besides you has access to this list.
    Close
    Enter the e-mail addresses of your recipients in the box below.  Note: Peer Evaluation will NOT store these email addresses   log in
    Your recipients

    Your message:

    Your email : Your email address will not be stored or shared with others.

    Your message has been sent.

    Description

    Title : Active vision using an analog VLSI model of selective attention
    Author(s) : G. Indiveri, R. Murer, J. Kramer
    Abstract : Detailed processing of sensory information is a computationally demanding task. This is especially true for vision, where the amount of information provided by the sensors typically exceeds the processing capacity of the system. Rather than attempting to process all the sensory data simultaneously, an effective strategy is to focus on subregions of the input space, shifting from one, subregion to the other, in a serial fashion. This strategy is commonly referred to as selective attention. We present a neuromorphic active-vision system, that implements a saliency-based model of selective attention. Visual data is sensed and preprocessed in parallel by a transient imager chip and transmitted to a selective-attention chip. This chip sequentially selects the spatial locations of salient regions in the vision sensor's field of view. A host computer uses the output of the selective-attention chip to drive the motors on which the imager is mounted, and to orient it toward the selected regions. The system's design framework is modular and allows the integration of multiple sensors and multiple selective-attention chips. We present experimental results showing the performance of a two-chip system in response to well-controlled test stimuli and to natural stimuli
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2001

    Affiliations University of Zurich and ETH Zurich
    Journal : IEEE Transactions on Circuits and Systems II: Analog and Digital
    Volume : 48
    Issue : 5
    Pages : 492 - 500
    Url : http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=938359
    Doi : 10.1109/82.938359

    Leave a comment

    This contribution has not been reviewed yet. review?

    You may receive the Trusted member label after :

    • Reviewing 10 uploads, whatever the media type.
    • Being trusted by 10 peers.
    • If you are blocked by 10 peers the "Trust label" will be suspended from your page. We encourage you to contact the administrator to contest the suspension.

    Does this seem fair to you? Please make your suggestions.

    Please select an affiliation to sign your evaluation:

    Cancel Evaluation Save

    Please select an affiliation:

    Cancel   Save

    Giacomo's Peer Evaluation activity

    Giacomo has...

    Trusted 0
    Reviewed 0
    Emailed 0
    Shared/re-used 0
    Discussed 0
    Invited 0
    Collected 0
    Invite this peer to...
    Title
    Start date (dd/mm/aaaa)
    Location
    URL
    Message
    send
    Close

    Full Text request

    Your request will be sent.

    Please enter your email address to be notified
    when this article becomes available

    Your email


     
    Your email address will not be shared or spammed.