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: A computerized method for recognition of a logo is described herein. The method comprises obtaining a plurality of feed frame of a feed video wherein the feed video has a logo embedded therein. At least one feed frame from the plurality of feed frames is compared with each template from a plurality of templates. For each template compared with the feed frame, a correlation parameter is computed and the logo is recognized based on the computing.

Abstract: A System and method for identifying one or more human activities in a human-computer interacting environment. Skeleton points associated with a human are received. A data variation factor for the skeleton points is calculated, and a set of skeleton points is selected based on the data variation factor. One or more features are defined from the set of skeleton points by identifying a variance in coordinates of the set of skeleton points by using one or more statistical parameters. The one or more features are used to identify the one or more human activities.

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.

Abstract: A method and system for preprocessing text containing region of a video The invention provides a method and system for preprocessing the text containing region of video for improving the optical character recognition input.

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: A system and a method for identification of alphanumeric characters present in a series in an image are disclosed. The system and method captures the image and further processes it for binarization by computing a pattern of the image. The generated binarized images are then filtered for removing unwanted components. Candidate images are identified out of the filtered binarized images. All the obtained candidate images are combined to generate a final candidate image which is further segmented in order to recognize a valid alphanumeric character present in the series.

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).

Abstract: An indoor positioning system and method of localizing a person/object in an indoor environment by identifying the orientation and direction of a person/object to provide a true location of the person/object without navigation errors. The system comprises magnets disposed on a doorway to create a unique magnetic field; a wireless communication unit comprising a magnetometer sensor to sense perturbations in each of the unique magnetic fields in the event that the person/object with the wireless communication unit passes through the doorway, and generate corresponding signals; a processor receiving the signals and extracting data from the same; and a backend server wirelessly communicating with the wireless communication unit, the backend server processing the data sample received from the wireless communication unit to identify the opening and the wireless communication unit to localize the person/object.

Abstract: A method for monitoring physiological parameters associated with a subject using a hand held device is described herein. In an implementation, the method includes obtaining a plurality of sample photoplethysmographic (PPG) features associated with a sample subject, from a video of a body part of the sample subject. From among the plurality of sample PPG features, at least one relevant sample PPG feature associated with the physiological parameter, is selected based on a ground truth value of the physiological parameter for the subject. Further, based on the at least one relevant sample PPG feature and the ground truth value of the physiological parameter, a mathematical model indicative of a correlation between the relevant sample PPG feature and the physiological parameter, is determined. The mathematical model can be deployed for monitoring the physiological parameter in real time.

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: An application development system for development of Internet of Things (IoT) application includes a cataloging module to obtain an input from an application developer. The input comprises data related to the IoT application to be developed. The cataloging module further retrieves a plurality of reusable artefacts from a knowledge database based on the input. A recommendation module in the application development system recommends, to the application developer, artefacts from amongst the plurality of reusable artefacts, based at least on one of a feedback associated with each of the plurality of reusable artefacts, an expert analysis, and a combination of the expert analysis and the feedback. An association module in the application development system associates artefacts selected by the application developer with each other for development of the IoT application.

Abstract: An automated method for classifying a video frame into different genre based on the statistical analysis of different text rich video frames. The method of the present invention applies a statistical method to classify the genre based on the text in the video frame.

Abstract: The application provides a method and system for determinism in non-linear systems for speech processing, particularly automatic speech segmentation for building speech recognition systems. More particularly, the application enables a method and system for detecting boundary of coarticulated units from isolated speech using recurrence plot.

Abstract: The application provides a method and system for differentiating textual information embedded in a streaming news video. The application enables a method and system for differentiating textual information embedded in a streaming news video for simplified indexing and annotation of the said news video.

Abstract: The present disclosure relates to designing of a hierarchy of feature vectors. In one embodiment, a method for facilitating design of a hierarchy of feature vectors while recognizing one or more characters in a video is disclosed. The method comprises collecting one or more features from each of the segments in a video frame extracted from a video; preparing multi-dimensional feature vectors to classify the one or more characters; calculating a minimum distance between the multi-dimensional features vectors of a test character and the multi-dimensional feature vectors of a pre-stored character template; selecting, with respect to a decreasing order of the minimum distance, the multi-dimensional feature vectors to design a hierarchy of the multi-dimensional feature vectors; and classifying the characters based on the hierarchy of the multi-dimensional feature vectors.

Abstract: A computerized method for recognition of a logo is described herein. The method comprises obtaining a plurality of feed frame of a feed video wherein the feed video has a logo embedded therein. At least one feed frame from the plurality of feed frames is compared with each template from a plurality of templates. For each template compared with the feed frame, a correlation parameter is computed and the logo is recognized based on the computing.

Abstract: A method and system for preprocessing text containing region of a video The invention provides a method and system for preprocessing the text containing region of video for improving the optical character recognition input.