Robust Fragments-based Tracking using the Integral Histogram

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This paper, published in 1950, received 1.0k indexed citations. Written by A. Adam, Ehud Rivlin and Ilan Shimshoni covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (988 citations), Aerospace Engineering (160 citations) and Electrical and Electronic Engineering (93 citations). Published in .

Countries where authors are citing Robust Fragments-based Tracking using the Integral Histogram

Since Specialization
Citations

This map shows the geographic impact of Robust Fragments-based Tracking using the Integral Histogram. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robust Fragments-based Tracking using the Integral Histogram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robust Fragments-based Tracking using the Integral Histogram more than expected).

Fields of papers citing Robust Fragments-based Tracking using the Integral Histogram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Robust Fragments-based Tracking using the Integral Histogram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Robust Fragments-based Tracking using the Integral Histogram.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1109/cvpr.2006.256.

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