What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
Her scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Covariance matrix and Discriminative model.
Her study ties her expertise on Human–computer interaction together with the subject of Artificial intelligence.
The Pixel, Motion estimation and Motion detection research she does as part of her general Computer vision study is frequently linked to other disciplines of science, such as Set, therefore creating a link between diverse domains of science.
Her Covariance matrix research incorporates elements of Analysis of covariance and Active appearance model.
Her research in Discriminative model intersects with topics in Histogram and Re identification.
Her Activity recognition research is multidisciplinary, incorporating elements of Video tracking, Event recognition and Activities of daily living.
Her most cited work include:
- Person Re-identification Using Spatial Covariance Regions of Human Body Parts (181 citations)
- Automatic video interpretation: a novel algorithm for temporal scenario recognition (149 citations)
- Person Re-identification Using Haar-based and DCD-based Signature (135 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Video tracking, Pattern recognition and Machine learning.
Her Artificial intelligence study frequently draws connections between related disciplines such as Human–computer interaction.
Her research on Computer vision often connects related topics like Discriminative model.
Monique Thonnat has researched Video tracking in several fields, including Tracking system, Multimedia and Cluster analysis.
Her Pattern recognition study often links to related topics such as Covariance matrix.
Her Machine learning research is multidisciplinary, incorporating perspectives in Probabilistic logic, Hidden Markov model and Action.
She most often published in these fields:
- Artificial intelligence (65.98%)
- Computer vision (40.72%)
- Video tracking (15.98%)
What were the highlights of her more recent work (between 2012-2020)?
- Artificial intelligence (65.98%)
- Computer vision (40.72%)
- Video tracking (15.98%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Artificial intelligence, Computer vision, Video tracking, Tracking and Machine learning.
Her studies examine the connections between Artificial intelligence and genetics, as well as such issues in State, with regards to Adaptation.
Her Computer vision study combines topics in areas such as Discriminative model, Selection and Robustness.
The concepts of her Video tracking study are interwoven with issues in Tracking system, Partition and Pattern recognition.
Her Tracking research is multidisciplinary, relying on both Domain, Control theory, Silhouette and Taxonomy.
Her Machine learning study combines topics from a wide range of disciplines, such as Probabilistic logic, Table and Action.
Between 2012 and 2020, her most popular works were:
- Evaluation of a monitoring system for event recognition of older people (22 citations)
- Multiple Object Tracking by Efficient Graph Partitioning (16 citations)
- Activity recognition and uncertain knowledge in video scenes (16 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
Her primary scientific interests are in Artificial intelligence, Machine learning, Computer vision, Video tracking and Activity recognition.
Artificial intelligence is closely attributed to Event recognition in her study.
The Computer vision study combines topics in areas such as Semantic information, Older people and Standard algorithms.
Her Video tracking research integrates issues from Object detector, Control theory and Message passing.
Her biological study spans a wide range of topics, including Hidden Markov model and Action.
Her Tracking research integrates issues from Algorithm, Contrast and Cluster analysis.
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