Kannappan Palaniappan mainly investigates Artificial intelligence, Computer vision, Video tracking, Image segmentation and Tracking. He interconnects Data mining and Pattern recognition in the investigation of issues within Artificial intelligence. Computer vision and Live cell imaging are commonly linked in his work.
His Video tracking research is multidisciplinary, incorporating elements of Image sensor, Feature, Cluster analysis, Vehicle tracking system and Sensor fusion. As a part of the same scientific study, Kannappan Palaniappan usually deals with the Image segmentation, concentrating on Multispectral image and frequently concerns with Scientific visualization, Zoom, Computer graphics, Glyph and Computer graphics. Kannappan Palaniappan focuses mostly in the field of Tracking, narrowing it down to matters related to Object and, in some cases, Thermal infrared and Ground truth.
Kannappan Palaniappan spends much of his time researching Artificial intelligence, Computer vision, Image segmentation, Pattern recognition and Segmentation. His work in Video tracking, Feature, Feature extraction, Robustness and Object detection are all subfields of Artificial intelligence research. He interconnects Histogram, Frame rate and Automatic summarization in the investigation of issues within Video tracking.
His Image segmentation study frequently links to other fields, such as Algorithm. His work carried out in the field of Pattern recognition brings together such families of science as Contextual image classification, Local binary patterns and Deep learning. His Tracking research focuses on subjects like Object, which are linked to Benchmark.
His primary areas of investigation include Artificial intelligence, Computer vision, Deep learning, Video tracking and Feature extraction. His research ties Pattern recognition and Artificial intelligence together. His work on Feature, Object detection and Aerial video as part of general Computer vision study is frequently linked to Pipeline, therefore connecting diverse disciplines of science.
His work deals with themes such as Facial expression recognition, Speech recognition and Facial expression, which intersect with Deep learning. The various areas that he examines in his Video tracking study include Annotation, Edge computing and Eye tracking. The study incorporates disciplines such as Radon transform and Robustness in addition to Feature extraction.
Kannappan Palaniappan focuses on Artificial intelligence, Computer vision, Drone, Deep learning and Feature extraction. His Artificial intelligence study focuses mostly on Random forest, Convolutional neural network, Image segmentation, Medical imaging and Classifier. He combines Computer vision and Pipeline in his research.
His research integrates issues of Video tracking, Object and Infrared in his study of Drone. His Deep learning study incorporates themes from Facial expression recognition, Speech recognition and Facial expression. His Feature extraction study combines topics in areas such as Anisotropic diffusion, Classifier and Algorithm.
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The Visual Object Tracking VOT2016 Challenge Results
Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg.
european conference on computer vision (2016)
The Visual Object Tracking VOT2017 Challenge Results
Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
Sema Candemir;Stefan Jaeger;Kannappan Palaniappan;Jonathan P. Musco.
IEEE Transactions on Medical Imaging (2014)
Automatic Tuberculosis Screening Using Chest Radiographs
Stefan Jaeger;Alexandros Karargyris;Sema Candemir;Les Folio.
IEEE Transactions on Medical Imaging (2014)
Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models
Rui Wang;Filiz Bunyak;Guna Seetharaman;Kannappan Palaniappan.
computer vision and pattern recognition (2014)
A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth. Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone.
Corine M. van der Weele;Hai S. Jiang;Krishnan K. Palaniappan;Viktor B. Ivanov.
Plant Physiology (2003)
GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries
Chi-Ren Shyu;M. Klaric;G.J. Scott;A.S. Barb.
IEEE Transactions on Geoscience and Remote Sensing (2007)
Gaussian mixture density modeling, decomposition, and applications
Xinhua Zhuang;Yan Huang;K. Palaniappan;Yunxin Zhao.
IEEE Transactions on Image Processing (1996)
CNN-based image analysis for malaria diagnosis
Zhaohui Liang;Andrew Powell;Ilker Ersoy;Mahdieh Poostchi.
bioinformatics and biomedicine (2016)
Cell segmentation using coupled level sets and graph-vertex coloring
Sumit K. Nath;Kannappan Palaniappan;Filiz Bunyak.
medical image computing and computer assisted intervention (2006)
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