H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 50 Citations 15,689 108 World Ranking 2884 National Ranking 1531

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

Artificial intelligence, Computer vision, Pattern recognition, Object detection and Algorithm are his primary areas of study. Within one scientific family, Robert T. Collins focuses on topics pertaining to Identification under Artificial intelligence, and may sometimes address concerns connected to Field of view. As part of his studies on Computer vision, Robert T. Collins often connects relevant areas like Flow.

Robert T. Collins interconnects Pixel and Mean-shift in the investigation of issues within Pattern recognition. His Object detection research incorporates themes from Motion analysis, Background subtraction, Videoconferencing, Salience and Aerial video. His work carried out in the field of Algorithm brings together such families of science as Active vision, Lattice and Geospatial analysis.

His most cited work include:

  • A System for Video Surveillance and Monitoring (1229 citations)
  • Online selection of discriminative tracking features (1180 citations)
  • Mean-shift blob tracking through scale space (771 citations)

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

Robert T. Collins mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Object detection and Image segmentation. His study in Segmentation, Robustness, Video tracking, Image and Object falls under the purview of Artificial intelligence. His Computer vision study which covers Position that intersects with Camera auto-calibration.

His work deals with themes such as Cognitive neuroscience of visual object recognition, Feature, Contextual image classification, Graphical model and Mean-shift, which intersect with Pattern recognition. His research combines Background subtraction and Object detection. His Algorithm research extends to Image segmentation, which is thematically connected.

He most often published in these fields:

  • Artificial intelligence (68.24%)
  • Computer vision (53.38%)
  • Pattern recognition (19.59%)

What were the highlights of his more recent work (between 2010-2020)?

  • Artificial intelligence (68.24%)
  • Computer vision (53.38%)
  • Kinematics (3.38%)

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

His main research concerns Artificial intelligence, Computer vision, Kinematics, Tracking and Deep learning. In his research, Pixel is intimately related to Pattern recognition, which falls under the overarching field of Artificial intelligence. His studies in Computer vision integrate themes in fields like Stability and Pairwise comparison.

His Kinematics study combines topics from a wide range of disciplines, such as Assignment problem, Iterated conditional modes and Approximation algorithm. His study focuses on the intersection of Tracking and fields such as Object with connections in the field of Optimal trajectory, Stochastic optimization and Markov chain Monte Carlo. The Deep learning study combines topics in areas such as Simulation and Dynamics.

Between 2010 and 2020, his most popular works were:

  • Vision-Based Analysis of Small Groups in Pedestrian Crowds (256 citations)
  • Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow (228 citations)
  • Multitarget data association with higher-order motion models (105 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Computer vision, Video tracking, Mathematical optimization and Pairwise comparison. His Artificial intelligence study frequently links to other fields, such as Assignment problem. The concepts of his Computer vision study are interwoven with issues in Calibration and Pattern recognition.

Robert T. Collins has researched Pattern recognition in several fields, including Pixel, Likelihood function and Metropolis–Hastings algorithm. His Mathematical optimization study incorporates themes from Object and Markov chain Monte Carlo. Robert T. Collins studied Pairwise comparison and Unary operation that intersect with Leverage, Multiple target and Object detection.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Online selection of discriminative tracking features

R.T. Collins;Yanxi Liu;M. Leordeanu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

1979 Citations

A System for Video Surveillance and Monitoring

Robert T. Collins;Alan J. Lipton;Takeo Kanade;Hironobu Fujiyoshi.
VSAM Final Report by Robotics Institute of CMU (2000)

1951 Citations

Mean-shift blob tracking through scale space

R.T. Collins.
computer vision and pattern recognition (2003)

1384 Citations

Algorithms for cooperative multisensor surveillance

R.T. Collins;A.J. Lipton;H. Fujiyoshi;T. Kanade.
Proceedings of the IEEE (2001)

833 Citations

Silhouette-based human identification from body shape and gait

R.T. Collins;R. Gross;Jianbo Shi.
ieee international conference on automatic face and gesture recognition (2002)

692 Citations

A space-sweep approach to true multi-image matching

R.T. Collins.
computer vision and pattern recognition (1996)

690 Citations

Introduction to the special section on video surveillance

R.T. Collins;A.J. Lipton;T. Kanade.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)

590 Citations

Three-dimensional scene flow

S. Vedula;S. Baker;P. Rander;R. Collins.
international conference on computer vision (1999)

444 Citations

Electrohydrodynamic tip streaming and emission of charged drops from liquid cones

Robert T. Collins;Jeremy J. Jones;Michael T. Harris;Osman A. Basaran.
Nature Physics (2008)

382 Citations

Vision-Based Analysis of Small Groups in Pedestrian Crowds

Weina Ge;R. T. Collins;R. B. Ruback.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

377 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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