World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5631
World Ranking
10308
National Ranking
4322

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Software

His scientific interests lie mostly in Computer vision, Artificial intelligence, Video tracking, ALARM and Set. Borrowing concepts from Geography, Peter L. Venetianer weaves in ideas under Computer vision. He works on Artificial intelligence which deals in particular with Segmentation.

His Video tracking study frequently links to related topics such as Video processing. His Video processing research integrates issues from Motion, Line segment, Computer graphics and Motion compensation. His work focuses on many connections between DUAL and other disciplines, such as Motion detection, that overlap with his field of interest in Pattern recognition, Reliability and Machine vision.

His most cited work include:

  • Video surveillance system employing video primitives (573 citations)
  • Video segmentation using statistical pixel modeling (278 citations)
  • Video surveillance system (233 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Video tracking, Geography and Video processing. His biological study spans a wide range of topics, including Real-time computing and Pattern recognition. Many of his studies on Computer vision apply to Computer graphics as well.

His work on Block-matching algorithm as part of general Video tracking study is frequently linked to Facial motion capture and System use, therefore connecting diverse disciplines of science. His Video processing study combines topics from a wide range of disciplines, such as Uncompressed video and Encoding. His studies examine the connections between Tracking and genetics, as well as such issues in Video based, with regards to Computer hardware.

He most often published in these fields:

  • Artificial intelligence (72.06%)
  • Computer vision (67.65%)
  • Video tracking (30.88%)

What were the highlights of his more recent work (between 2012-2016)?

  • Computer vision (67.65%)
  • Artificial intelligence (72.06%)
  • Video content analysis (13.24%)

In recent papers he was focusing on the following fields of study:

Peter L. Venetianer spends much of his time researching Computer vision, Artificial intelligence, Video content analysis, Geography and Object. The Computer vision study combines topics in areas such as Key and SIMPLE. Peter L. Venetianer has researched Video content analysis in several fields, including Computer graphics and Video image.

His Object detection research includes themes of Real-time computing and Data mining. His Tracking system research is multidisciplinary, incorporating elements of Camera auto-calibration, Camera resectioning and Range. As part of his studies on Video tracking, Peter L. Venetianer often connects relevant areas like Shot.

Between 2012 and 2016, his most popular works were:

  • System and method for monitoring a retail environment using video content analysis with depth sensing (115 citations)
  • System and method for building automation using video content analysis with depth sensing (89 citations)
  • System and method for video content analysis using depth sensing (61 citations)

Best Publications

  • Video surveillance system employing video primitives

    Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Matthew F. Frazier

  • System and method for building automation using video content analysis with depth sensing

    Gary W. Myers;Zhong Zhang;Peter L. Venetianer

  • Video analytic rule detection system and method

    Steve Titus;Zhong Zhang;John I. W. Clark;Alan J. Lipton

  • Video segmentation using statistical pixel modeling

    Alan J. Lipton;Niels Haering;Zeeshan Rasheed;Omar Javed

  • Video imagery-based sensor

    Alan J. Lipton;Bruce Thompson;John I. W. Clark;Peter L. Venetianer

  • Video scene background maintenance using change detection and classification

    Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Niels Haering

  • Video surveillance system

    Peter Venetianer;Alan Lipton;Andrew Chosak;Matthew Frazier

  • The evolution of video surveillance: an overview

    Niels Haering;Péter L. Venetianer;Alan Lipton

  • Target detection and tracking from video streams

    Zhong Zhang;Yongtong Hu;Alan J. Lipton;Peter L. Venetianer

  • Active camera video-based surveillance systems and methods

    Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton

  • Multi-state target tracking

    Zhong Zhang;Haiying Liu;Alan J. Lipton;Zeeshan Rasheed

  • Video analytics for retail business process monitoring

    Alan J. Lipton;Peter L. Venetianer;Niels Haering;Paul C. Brewer

  • Target detection and tracking from overhead video streams

    Alan J. Lipton;Peter L. Venetianer;Zhong Zhang;Haiying Liu

  • Analogic CNN algorithms for some image compression and restoration tasks

    P.L. Venetianer;F. Werblin;T. Roska;L.O. Chua

  • Video background replacement system

    Raul J. Fernandez;Alan J. Lipton;Peter L. Venetianer;Zhong Zhang

  • Master-slave automated video-based surveillance system

    Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton

  • Wide-area site-based video surveillance system

    Zhong Zhang;Li Yu;Haiying Liu;Paul C. Brewer

  • Detection of change in posture in video

    Peter L. Venetianer;Andrew J. Chosak;Niels Haering;Alan J. Lipton

  • Human detection and tracking for security applications

    Zhong Zhang;Alan J. Lipton;Paul C. Brewer;Andrew J. Chosak

  • Video surveillance: past, present, and now the future [DSP Forum]

    Fatih Porikli;Francois Bremond;Shiloh L. Dockstader;James Ferryman

  • Video surveillance system with omni-directional camera

    Weihong Yin;Li Yu;Zhong Zhang;Andrew J. Chosak

  • Image compression by cellular neural networks

    Peter L. Venetianer;Tamas Roska

Frequent Co-Authors

Alan J. Lipton
Alan J. Lipton Carnegie Mellon University
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley

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