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.
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.
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.
Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Matthew F. Frazier
Gary W. Myers;Zhong Zhang;Peter L. Venetianer
Steve Titus;Zhong Zhang;John I. W. Clark;Alan J. Lipton
Alan J. Lipton;Niels Haering;Zeeshan Rasheed;Omar Javed
Alan J. Lipton;Bruce Thompson;John I. W. Clark;Peter L. Venetianer
Peter L. Venetianer;Alan J. Lipton;Andrew J. Chosak;Niels Haering
Peter Venetianer;Alan Lipton;Andrew Chosak;Matthew Frazier
Niels Haering;Péter L. Venetianer;Alan Lipton
Zhong Zhang;Yongtong Hu;Alan J. Lipton;Peter L. Venetianer
Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton
Zhong Zhang;Haiying Liu;Alan J. Lipton;Zeeshan Rasheed
Alan J. Lipton;Peter L. Venetianer;Niels Haering;Paul C. Brewer
Alan J. Lipton;Peter L. Venetianer;Zhong Zhang;Haiying Liu
P.L. Venetianer;F. Werblin;T. Roska;L.O. Chua
Raul J. Fernandez;Alan J. Lipton;Peter L. Venetianer;Zhong Zhang
Geoffrey Egnal;Andrew Chosak;Niels Haering;Alan J. Lipton
Zhong Zhang;Li Yu;Haiying Liu;Paul C. Brewer
Peter L. Venetianer;Andrew J. Chosak;Niels Haering;Alan J. Lipton
Zhong Zhang;Alan J. Lipton;Paul C. Brewer;Andrew J. Chosak
Fatih Porikli;Francois Bremond;Shiloh L. Dockstader;James Ferryman
Weihong Yin;Li Yu;Zhong Zhang;Andrew J. Chosak
Peter L. Venetianer;Tamas Roska
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