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Navneet Dalal
Researcher at Google
Publications - 31
Citations - 36028
Navneet Dalal is an academic researcher from Google. The author has contributed to research in topics: Object detection & Optical flow. The author has an hindex of 17, co-authored 31 publications receiving 32776 citations. Previous affiliations of Navneet Dalal include Siemens & French Institute for Research in Computer Science and Automation.
Papers
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Book ChapterDOI
Human detection using oriented histograms of flow and appearance
TL;DR: A detector for standing and moving people in videos with possibly moving cameras and backgrounds is developed, testing several different motion coding schemes and showing empirically that orientated histograms of differential optical flow give the best overall performance.
Book ChapterDOI
The 2005 PASCAL visual object classes challenge
Mark Everingham,Andrew Zisserman,Christopher Williams,Luc Van Gool,Moray Allan,Christopher M. Bishop,Olivier Chapelle,Navneet Dalal,Thomas Deselaers,Gyuri Dorkó,Stefan Duffner,J Eichhorn,Jason Farquhar,Mario Fritz,Christophe Garcia,Tom Griffiths,Frédéric Jurie,Daniel Keysers,Markus Koskela,Jorma Laaksonen,Diane Larlus,Bastian Leibe,Hongying Meng,Hermann Ney,Bernt Schiele,Cordelia Schmid,Edgar Seemann,John Shawe-Taylor,Amos Storkey,Sandor Szedmak,Bill Triggs,Ilkay Ulusoy,Ville Viitaniemi,Jianguo Zhang +33 more
TL;DR: The PASCAL Visual Object Classes Challenge (PASCALVOC) as mentioned in this paper was held from February to March 2005 to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects).
Dissertation
Finding People in Images and Videos
TL;DR: This thesis introduces grids of locally normalised Histograms of Oriented Gradients (HOG) as descriptors for object detection in static images and proposes descriptors based on oriented histograms of differential optical flow to detect moving humans in videos.
Patent
System and method for enabling image recognition and searching of images
Salih Burak Gokturk,Baris Sumengen,Diem Vu,Navneet Dalal,Danny Yang,Xiaofan Lin,Azhar Khan,Munjal Shah,Dragomir Anguelov,Lorenzo Torresani,Vincent Vanhoucke +10 more
TL;DR: In this article, the authors programmatically analyze each of a plurality of images in order to determine one or more visual characteristics about an item shown in each of the images, and then a search operation is performed to identify items that have a visual characteristic that satisfies at least some of the search criteria.