Patents by Inventor Parual Datta
Parual Datta has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240071039Abstract: Methods and apparatus are disclosed herein for computation and compression efficiency in distributed video analytics. Example apparatus disclosed herein are to identify a key frame and a non-key frame in a video frame sequence input to a neural network at a client server, determine motion information between the key frame and the non-key frame based on optical flow, and determine a frame feature representation based on the motion information reconstructed at an edge server, the motion information including feature warping residual errors.Type: ApplicationFiled: September 29, 2023Publication date: February 29, 2024Inventors: Nagabhushan Eswara, Jaroslaw J. Sydir, Vallabhajosyula Srinivasa Somayazulu, Nilesh Ahuja, Omesh Tickoo, Parual Datta
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Publication number: 20220327359Abstract: Various systems and methods for providing variable bitrate compression for split deep neural network (DNN) computing are described herein. A system may be configured to manage a split DNN, the split DNN configured to operate on a compute system and a second system over a communication network. The system may access a performance metric; determine, based on the performance metric, a split point of the split DNN, the split point defining a head portion of the split DNN and a tail portion of the split DNN; determine, based on the performance metric, a bottleneck layer configuration for a bottleneck layer at the split point, the bottleneck layer including a bottleneck encoder and a bottleneck decoder; execute the head portion of the DNN and the bottleneck encoder on the compute system; and recurrently access an updated performance metric and determine a revised split point or a revised bottleneck layer configuration based on the updated performance metric.Type: ApplicationFiled: June 29, 2022Publication date: October 13, 2022Inventors: Nilesh A. Ahuja, Parual Datta, Vallabhajosyula S. Somayazulu, Omesh Tickoo
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Publication number: 20210279506Abstract: Estimating a head pose may include obtaining sensor data corresponding to a head and at least a portion of the body of a human subject and determining an estimate of a three-dimensional (3D) body pose using the obtained sensor data. The estimation can further include generating a first rendering of at least the human subject's head using the obtained sensor data and generating a plurality of head pose sample data sets by applying the estimated 3D body pose to a head-pose generative model. Further, the head pose estimation can include generating a plurality of second renderings respectively from each of the plurality of head pose sample data sets; determining which of the plurality of second renderings is closest to the first rendering; and selecting the second rendering determined to be closest to the first rendering.Type: ApplicationFiled: March 4, 2021Publication date: September 9, 2021Inventors: Parual DATTA, Nilesh AHUJA, Javier FELIP LEON
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Patent number: 10922536Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.Type: GrantFiled: January 21, 2020Date of Patent: February 16, 2021Assignee: INTEL CORPORATIONInventors: Srenivas Varadarajan, Nikita Tiwari, Parual Datta, Andradige Pubudu Madhawa Silva, Omesh Tickoo, Erin Carroll
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Publication number: 20200160049Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.Type: ApplicationFiled: January 21, 2020Publication date: May 21, 2020Applicant: Intel CorporationInventors: Srenivas Varadarajan, Nikita Tiwari, Parual Datta, Andradige Pubudu Madhawa Silva, Omesh Tickoo, Erin Carroll
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Patent number: 10540545Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.Type: GrantFiled: November 22, 2017Date of Patent: January 21, 2020Assignee: INTEL CORPORATIONInventors: Srenivas Varadarajan, Nikita Tiwari, Parual Datta, Andradige Pubudu Madhawa Silva, Omesh Tickoo, Erin Carroll
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Patent number: 10430966Abstract: An example apparatus for estimating poses includes a person estimator to estimate a number of people based on a significant head count of received refined part detections. The apparatus includes a detection clusterer to cluster the refined part detections based on the estimated number of people to generate clustered part detections. The apparatus includes a candidate selector to select candidate person clusters for each clustered part detection based on proximity to the clustered part detection. The apparatus includes a sequential assigner to calculate a cluster affinity score for each combination of candidate person cluster and clustered part detection, and greedily sequentially assign each clustered part detection to a candidate person cluster based on the cluster affinity score to generate person clusters. The apparatus includes a pose generator to generate a pose for each person cluster.Type: GrantFiled: April 5, 2017Date of Patent: October 1, 2019Assignee: Intel CorporationInventors: Srenivas Varadarajan, Omesh Tickoo, Parual Datta
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Publication number: 20190026548Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.Type: ApplicationFiled: November 22, 2017Publication date: January 24, 2019Applicant: Intel CorporationInventors: Srenivas Varadarajan, Nikita Tiwari, Parual Datta, Andradige Pubudu Madhawa Silva, Omesh Tickoo, Erin Carroll
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Publication number: 20180293753Abstract: An example apparatus for estimating poses includes a person estimator to estimate a number of people based on a significant head count of received refined part detections. The apparatus includes a detection clusterer to cluster the refined part detections based on the estimated number of people to generate clustered part detections. The apparatus includes a candidate selector to select candidate person clusters for each clustered part detection based on proximity to the clustered part detection. The apparatus includes a sequential assigner to calculate a cluster affinity score for each combination of candidate person cluster and clustered part detection, and greedily sequentially assign each clustered part detection to a candidate person cluster based on the cluster affinity score to generate person clusters. The apparatus includes a pose generator to generate a pose for each person cluster.Type: ApplicationFiled: April 5, 2017Publication date: October 11, 2018Applicant: INTEL CORPORATIONInventors: Srenivas Varadarajan, Omesh Tickoo, Parual Datta