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公开(公告)号：US09679218B2
公开(公告)日：2017-06-13
申请号：US14889946
申请日：2014-04-25
Applicant: Tata Consultancy Services Limited
Inventor： Aishwarya Visvanathan , Tanushyam Chattopadhyay
CPC classification number: G06K9/3258 , G06K9/40 , G06K9/4671 , G06K9/6202 , G06K9/6211 , G06K2209/01 , G06K2209/15
Abstract: Disclosed is a method and apparatus for computation and processing of an image for image matching. The apparatus here is configured to pre-process plurality of images for creating an image template. Next, the test image is extracted and pre-processed for assessing the degree of match between the test image components and the image components of the images in the image template, based a position based matching score, a feature based matching score or both.
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公开(公告)号：US09589203B2
公开(公告)日：2017-03-07
申请号：US14665345
申请日：2015-03-23
Applicant: TATA CONSULTANCY SERVICES LIMITED
Inventor： Dipti Prasad Mukherjee , Tamal Batabyal , Tanushyam Chattopadhyay
CPC classification number: G06K9/44 , G06F3/011 , G06K9/00342 , G06K9/4685
Abstract: A processor implemented system and method for identification of an activity performed by a subject based on sensor data analysis is described herein. In an implementation, the method includes capturing movements of the subject in real-time using a sensing device. At least one action associated with the subject is ascertained from a predefined set of actions. From the predefined set of actions, a plurality of actions can collectively form at least one activity. The ascertaining is based on captured movements of the subject and at least one predefined action rule. The at least one action rule is based on context-free grammar (CFG) and is indicative of a sequence of actions for occurrence of the at least one activity. Further, a current activity performed by the subject is dynamically determined, based on the at least one action and an immediately preceding activity, using a non-deterministic push-down automata (NPDA) state machine.
Abstract translation: 本文描述了一种用于基于传感器数据分析来识别被摄体执行的活动的处理器实现的系统和方法。 在实现中，该方法包括使用感测装置实时地捕获被摄体的移动。 根据预定义的一组动作来确定与主题相关联的至少一个动作。 从预定义的一组动作，多个动作可以共同形成至少一个活动。 确定是基于被摄体的捕获的移动和至少一个预定义的动作规则。 所述至少一个动作规则基于上下文无关语法（CFG），并且指示用于发生所述至少一个活动的一系列动作。 此外，使用非确定性下推自动机（NPDA）状态机，基于所述至少一个动作和紧接在前的活动来动态地确定由所述对象执行的当前活动。
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公开(公告)号：US09430701B2
公开(公告)日：2016-08-30
申请号：US14614891
申请日：2015-02-05
Applicant: Tata Consultancy Services Limited
Inventor： Sangheeta Roy , Tanushyam Chattopadhyay , Dipti Prasad Mukherjee
CPC classification number: G06K9/00369 , G06K9/00201 , G06K9/00342 , G06K9/00771 , G06K9/40 , G06K9/4638 , G06K2009/485 , G06T2207/10024 , G06T2207/10028 , G06T2207/20021 , G06T2207/20072 , G06T2207/30196 , G06T2207/30232
Abstract: Disclosed is a system and method for detecting a human in an image, and a corresponding activity. The image is captured, wherein the image comprises a plurality of pixels having gray scale information and a depth information. The image is segmented into a plurality of segments based upon the depth information. A connected component analysis is performed on a segment in order to segregate the one or more objects into noisy objects and candidate objects, the noisy objects are eliminated from the segment. A plurality of features are extracted from the candidate objects, and are evaluated using a Hidden Markov Model (HMM) model in order to determine the candidate objects as one of the human or non-human. The corresponding activity associated with the human is detected based on a depth value associated with each pixel corresponding to the candidate object in the image.
Abstract translation: 公开了一种用于检测图像中的人的系统和方法以及相应的活动。 捕获图像，其中图像包括具有灰度信息和深度信息的多个像素。 基于深度信息将图像分割成多个片段。 在段上执行连接分量分析，以便将一个或多个对象分离成噪声对象和候选对象，从该段中消除嘈杂对象。 从候选对象中提取多个特征，并且使用隐马尔可夫模型（HMM）模型来评估，以便将候选对象确定为人或非人之一。 基于与图像中的候选对象对应的每个像素相关联的深度值来检测与人相关联的相应活动。
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公开(公告)号：US20150051785A1
公开(公告)日：2015-02-19
申请号：US14386315
申请日：2013-03-05
Applicant: TATA CONSULTANCY SERVICES LIMITED
Inventor： Arpan Pal , Chirabrata Bhaumik , Kallol Ghosh , Provat Biswas , Aniruddha Sinha , Tanushyam Chattopadhyay , Arijit Sinharay , Mohd Bilal Arif Syed
CPC classification number: G07C5/008 , B60W40/06 , B60W50/14 , B60W2420/905 , B60W2520/14 , B60W2520/16 , B60W2520/18 , B60W2550/14 , G01P15/18 , G07C5/0808
Abstract: A system and method for a real-time prognosis of a vehicle comprising a personal communication device comprising an arbitrarily oriented three-axis accelerometer configured to capture a pitch motion and/or roll motion of the vehicle and an onboard diagnostics system communicably connected with the personal communication device enabling bi-directional communication. The personal communication device comprising a processor configured for geometric mapping of a three dimensional Cartesian coordinate of the three-axis accelerometer with the vehicle. The processor virtually orients the coordinates of three-axis accelerometer to coincide with the coordinates of the vehicle. The arbitrarily oriented three-axis accelerometer is configured to capture a road condition and a driver behaviour using a sampling rate between 4 Hertz (Hz) to 10 Hertz (Hz). The system for the real-time prognosis of the vehicle, wherein the real-time prognosis utilizes at least one predictive analysis model to determine real-time prognosis for the said vehicle.
Abstract translation: 一种用于车辆的实时预测的系统和方法，包括个人通信设备，该个人通信设备包括被配置为捕获车辆的俯仰运动和/或侧倾运动的任意取向的三轴加速度计，以及与该个人通信地可通信地连接的车载诊断系统 通信设备实现双向通信。 个人通信设备包括处理器，该处理器被配置用于三轴加速度计的三维笛卡尔坐标与车辆的几何映射。 处理器实际上定位三轴加速度计的坐标以与车辆的坐标一致。 任意定向的三轴加速度计被配置为使用4赫兹（Hz）至10赫兹（赫兹）之间的采样率捕获道路状况和驾驶员行为。 用于车辆的实时预测的系统，其中所述实时预测利用至少一个预测分析模型来确定所述车辆的实时预测。
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公开(公告)号：US10909462B2
公开(公告)日：2021-02-02
申请号：US15160440
申请日：2016-05-20
Applicant: Tata Consultancy Services Limited
Inventor： Avik Ghose , Arpan Pal , Arindam Pal , Tanushyam Chattopadhyay , Santa Maiti
Abstract: A multi-dimensional sensor data analysis system and method is provided. The multi-dimensional sensor data analysis system receives indoor and outdoor location, online and physical activity, online and physical proximity and additional a plurality of inputs (specific to a user), for example, surrounding of the subject, physiological parameters of the subject and recent social status of the subject, both online and offline. The multi-dimensional sensor data analysis system processes these inputs along with the knowledge of past behavior and traditional parameters of location, proximity and activity by performing a multi-dimensional sensor data analysis fusion technique, producing one or more outputs, for example, predicting or determining a human behaviour to a given stimuli.
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Patent Agency Ranking
公开(公告)号：US10277682B2
公开(公告)日：2019-04-30
申请号：US15817720
申请日：2017-11-20
Applicant: Tata Consultancy Services Limited
Inventor： Swagata Biswas , Tanushyam Chattopadhyay , Arpan Pal , Snehasis Banerjee , Utpal Garin
Abstract: A method and system has been provided for recommending features for developing an IoT analytics application. The method follows a deep like architecture. It comprises of three distinct layers. First layer is for input signal processing and other two layers are for feature reduction. The time domain, frequency domain and time-frequency domain features are extracted from the input signal. The invention uses multiple feature selection methods so that the union of the recommended features by these feature selection methods is significantly lesser than the initial set of features. The best feature combination is recommended using an exhaustive search.
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公开(公告)号：US09922263B2
公开(公告)日：2018-03-20
申请号：US14387094
申请日：2013-03-20
Inventor： Tanushyam Chattopadhyay , Arpan Pal , Aniruddha Sinha , Utpal Garain
Abstract: The present disclosure relates to a system and a method for detection of touching characters in a media, characterized by segmentation of adjoining character spaces. In the very first step, an aspect ratio is calculated for each connected component. A candidate touching position of each character is determined by calculating a threshold aspect ratio for each character. Further, a candidate cut column is determined based on a relation between column pixel densities and corresponding length thereof the column in order to segment the touching characters at the candidate cut column.
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18.发明授权Method and system for automatic selection of one or more image processing algorithm 有权一种或多种图像处理算法的自动选择方法和系统公开(公告)号：US09275307B2
公开(公告)日：2016-03-01
申请号：US14286303
申请日：2014-05-23
Applicant: Tata Consultancy Services Limited
Inventor： Tanushyam Chattopadhyay , Ramu Vempada Reddy , Utpal Garain
CPC classification number: G06K9/66 , G06K9/34 , G06K9/38 , G06K9/4652 , G06K9/481 , G06K2209/01
Abstract: Disclosed is a method and system for automatic algorithm selection for image processing. The invention discloses the method and system for automatically selecting the correct algorithm(s) for a varying requirement of the image for processing. The selection of algorithm is completely automatic and guided by a plurality of machine learning approaches. The system here is configured to pre-process plurality of images for creating a training data. Next, the test image is extracted, pre-processed and matched for assessing the best possible match of algorithm for processing.
Abstract translation: 公开了用于图像处理的自动算法选择的方法和系统。 本发明公开了用于自动选择用于处理图像的变化需求的正确算法的方法和系统。 算法的选择是完全自动的，并由多种机器学习方法引导。 这里的系统被配置为预处理用于创建训练数据的多个图像。 接下来，提取测试图像，预处理和匹配，以评估用于处理的算法的最佳匹配。
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公开(公告)号：US20150193686A1
公开(公告)日：2015-07-09
申请号：US14588595
申请日：2015-01-02
Applicant: Tata Consultancy Services Limited
Inventor： Kingshuk Chakravarty , Ramu Reddy Vempada , Tanushyam Chattopadhyay , Aniruddha Sinha , Arpan Pal
CPC classification number: G06N5/04 , G01J5/00 , G06F21/32 , G06K9/00369 , G06K2209/055 , G06N99/005
Abstract: A system and method for identifying an unknown person based on a static posture of the unknown person is described. The method includes receiving data of N skeleton joints of the unknown person from a skeleton recording device. The method further includes identifying the static posture of the unknown person. The method includes dividing a skeleton structure of the unknown person in a plurality of body parts based on joint types of the skeleton structure. In addition, the method includes extracting feature vectors for each of the joint type from each of the plurality of body parts. The method further includes identifying the unknown person based on comparison of the feature vectors for the unknown person with one of a constrained feature dataset and an unconstrained feature dataset for a plurality of known persons.
Abstract translation: 描述了基于未知人的静态姿势来识别未知人的系统和方法。 该方法包括从骨架记录装置接收未知人的N个骨架关节的数据。 该方法还包括识别未知人的静态姿势。 该方法包括基于骨骼结构的关节类型将未知人的骨架结构划分为多个身体部位。 此外，该方法包括从多个身体部分中的每一个提取每个关节类型的特征向量。 该方法还包括基于未知人的特征向量与多个已知人的约束特征数据集和无约束特征数据集之一的比较来识别未知人。
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20.发明申请METHOD AND SYSTEM FOR CONTEXT BASED SPLITTING AND TRANSMISSION OF BROADCAST CONTENT 审中-公开基于上下文分割和广播内容传输的方法和系统公开(公告)号：US20150067742A1
公开(公告)日：2015-03-05
申请号：US14387086
申请日：2013-03-19
Applicant: Tata Consultancy Services Limited
Inventor： Aniruddha Sinha , Tanushyam Chattopadhyay , Chirabrata Bhaumik , Arpan Pal
IPC: H04N21/454 , H04N7/10 , H04N21/45 , H04N21/41 , H04L29/06 , H04N21/436
CPC classification number: H04N21/454 , H04L65/60 , H04N7/106 , H04N21/4104 , H04N21/436 , H04N21/43615 , H04N21/4532
Abstract: A method and system is provided for context based splitting of a broadcast content stream and transmission of a relevant broadcast content out of said broadcast content stream to at least one edge device over a home area network for consumption. Particularly, the invention provides a method and system for obtaining context of the edge device and corresponding device owner; comparing the said obtained context with the broadcast content stream; finding and splitting relevant broadcast content out of the broadcast content stream according to the context of said edge device; and transmitting said relevant broadcast content to said edge device for future consumption.
Abstract translation: 提供了一种方法和系统，用于基于上下文的广播内容流的分割和从所述广播内容流中的相关广播内容的传输到家庭区域网络上的至少一个边缘设备以供消费。 特别地，本发明提供了一种用于获得边缘设备和相应设备所有者的上下文的方法和系统; 将所述获得的上下文与广播内容流进行比较; 根据所述边缘设备的上下文从广播内容流中发现和分解相关的广播内容; 以及将所述相关广播内容发送到所述边缘设备以供将来消费。
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