World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4908
World Ranking
12190
National Ranking
4950

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Software

Alan J. Lipton mainly focuses on Computer vision, Artificial intelligence, Video tracking, Tracking and ALARM. A large part of his Computer vision studies is devoted to Pixel. His Video tracking study combines topics from a wide range of disciplines, such as Change detection, Speech recognition and Video processing.

His studies in Video processing integrate themes in fields like Motion, Line segment and Computer graphics. His Tracking study integrates concerns from other disciplines, such as Motion compensation and Video based. Alan J. Lipton works mostly in the field of Real-time computing, limiting it down to topics relating to Motion detection and, in certain cases, Multimedia.

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?

His scientific interests lie mostly in Artificial intelligence, Computer vision, Video tracking, Video processing and Geography. His research in Artificial intelligence tackles topics such as Pattern recognition which are related to areas like Independent motion. In his work, Alan J. Lipton performs multidisciplinary research in Computer vision and Position.

His Video processing study combines topics in areas such as Uncompressed video and Computer graphics. His Pixel study incorporates themes from Segmentation and Statistical model. His Video capture study combines topics from a wide range of disciplines, such as Multiview Video Coding and Real-time computing.

He most often published in these fields:

  • Artificial intelligence (67.80%)
  • Computer vision (67.80%)
  • Video tracking (33.90%)

What were the highlights of his more recent work (between 2008-2016)?

  • Computer vision (67.80%)
  • Artificial intelligence (67.80%)
  • Process (16.95%)

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

His primary scientific interests are in Computer vision, Artificial intelligence, Process, Event and Real-time computing. His research on Computer vision often connects related areas such as Computer graphics. In the field of Artificial intelligence, his study on Range, Camera resectioning and Tracking system overlaps with subjects such as Composite video and Key.

Process is integrated with Initialization, Camera auto-calibration and SIMPLE in his research. His Event study spans across into areas like ALARM and Set.

Between 2008 and 2016, his most popular works were:

  • Video imagery-based sensor (44 citations)
  • A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration (7 citations)
  • Video surveillance system employing video source language (0 citations)

Best Publications

  • Video surveillance system employing video primitives

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

  • 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

  • Automatic extraction of secondary video streams

    W. Andrew Scanlon;Andrew J. Chosak;John I.W. Clark;Robert A. Cutting

  • 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

  • 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 system with omni-directional camera

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

  • Video surveillance using spatial-temporal motion analysis

    Zhong Zhang;Niels Haering;Alan J. Lipton;Haiying Liu

Frequent Co-Authors

Peter L. Venetianer
Peter L. Venetianer University of Pennsylvania

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