Abstract: Traditional electrocardiography (ECG) and photo-plethysmography (PPG) based HR estimation require human skin contact which is not only user uncomfortable, but also infeasible when multiple user monitoring is required or extreme sensitive conditions is a prime concern as in the case of monitoring neonates, sleeping human and skin damaged patients. Temporal signals depicting the motion or color variations in the frames across time, are estimated from a Region of Interest using Eulerian or Lagrangian approaches. However, the Eulerian approach fails under improper illumination, inappropriate camera focus or human factors like skin color. Likewise, Lagrangian approach is highly time-consuming and may fail when few or less discriminatory features are available for tracking. The present disclosure provides a poorness measure that is indicative of when an approach fails and facilitates serial fusion of the two approaches. Switching to an appropriate approach results in accurate heart rate estimation.

Abstract: A system and method for real time estimation of heart rate (HR) from one or more face videos acquired in non-invasive manner. The system receives face videos and obtains several blocks as ROI consisting of facial skin areas. Subsequently, the temporal fragments are extracted from the blocks and filtered to minimize the noise. In the next stage, several temporal fragments are extracted from the video. The several temporal fragments, corrupted by noise are determined using an image processing range filter and pruned for further processing. The HR of each temporal fragment, referred as local HR is estimated along with its quality. Eventually, a quality based fusion is applied to estimate a global HR corresponding to the received face videos. In addition, the disclosure herein is also applicable for frontal, profile and multiple faces and performs in real-time.

Abstract: Systems and methods for identifying body joint location includes obtaining skeletal data, depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an estimate of body joint locations (BJLs) and body segment lengths (BSLs), iteratively identifying, based on the depth data and RGB data, probable correct BJLs in a bounded neighborhood around BJLs that are previously obtained, comparing a body segment length associated with the probable correct BJLs and a reference length, identifying candidate BJLs based on comparison, determining a physical orientation of each body segment by segmenting three dimensional (3D) coordinates of each body segment based on the depth data and performing an analysis on each segmented 3D coordinate. A corrected BJL is identified based on a minimal deviation in direction from the physical orientation of a corresponding body segment along with a feature descriptor of the RGB data and depth data.

Abstract: A method and system for determining postural balance of the person is provided. The disclosure provides a single limb stance body balance analysis system which will aid medical practitioners to analyze crucial factor for fall risk minimization, injury prevention, fitness and rehabilitation. Skeleton data was captured using Kinect. Two parameters vibration-jitter and force per unit mass (FPUM) are derived for each body part to assess postural stability during SLS. Further, the vibration and force imposed on each joint a first balance score was quantified. A first balance score and a second balance are also calculated by combining vibration index and SLS duration to indicate the postural balance of the person. The vibration index is computed from the vibration profile associated different body segments.

Abstract: Systems and methods for identifying body joint location includes obtaining skeletal data, depth data and red, green, and blue (RGB) data pertaining to a user, obtaining, using input data, an estimate of body joint locations (BJLs) and body segment lengths (BSLs), iteratively identifying, based on the depth data and RGB data, probable correct BJLs in a bounded neighborhood around BJLs that are previously obtained, comparing a body segment length associated with the probable correct BJLs and a reference length, identifying candidate BJLs based on comparison, determining a physical orientation of each body segment by segmenting three dimensional (3D) coordinates of each body segment based on the depth data and performing an analysis on each segmented 3D coordinate. A corrected BJL is identified based on a minimal deviation in direction from the physical orientation of a corresponding body segment along with a feature descriptor of the RGB data and depth data.

Abstract: Disclosed is a method and system for constructing a 3D structure. The system of the present disclosure comprises an image capturing unit for capturing images of an object. The system comprises of a gyroscope, a magnetometer, and an accelerometer for determining extrinsic camera parameters, wherein the extrinsic camera parameters comprise a rotation and a translation of the images. Further the system determines an internal calibration matrix once. The system uses the extrinsic camera parameters and the internal calibration matrix for determining a fundamental matrix. The system extracts features of the images for establishing point correspondences between the images. Further, the point correspondences are filtered using the fundamental matrix for generating filtered point correspondences. The filtered point correspondences are triangulated for determining 3D points representing the 3D structure. Further, the 3D structure may be optimized for eliminating reprojection errors associated with the 3D structure.

Abstract: A method and system is provided for finding and analyzing gait parameters and postural balance of a person using a Kinect system. The system is easy to use and can be installed at home as well as in clinic. The system includes a Kinect sensor, a software development kit (SDK) and a processor. The temporal skeleton information obtained from the Kinect sensor to evaluate gait parameters including stride length, stride time, stance time and swing time. Eigenvector based curvature detection is used to analyze the gait pattern with different speeds. In another embodiment, Eigenvector based curvature detection is employed to detect static single limb stance (SLS) duration along with gait variables for evaluating body balance.

Abstract: The present subject matter discloses a system and a method for constructing a 3D structure. A stream of images having timestamps associated is received at first. A plurality of image sub-groups is created using the stream of images. The plurality of image sub-groups are used for extracting features of the images present in the image sub-groups. The features are used for generating point correspondences between the images. Epipolar geometries for the image sub-groups are calculated for filtering of the point correspondences, and generating filtered point correspondences. Further, 3D points representing one or more 3D point structures are generated using the filtered point correspondences. A registered 3D structure is constructed using the one or more 3D structures upon considering a scale correction and transformation between the one or more 3D structures. Further, the registered 3D structure is dense reconstructed for improving the pixel density of the 3D structure.

Abstract: Method and System for estimating three dimensional measurements of a physical object by utilizing readings from inertial sensors is provided. The method involves capturing by a handheld unit, three dimensional aspects of the physical object. The raw recordings are received from the inertial sensors and are used to develop a raw rotation matrix. The raw rotation matrix is subjected to low pass filtering to obtain processed matrix constituted of filtered Euler angles wherein coordinates from the processed rotation matrix is used to estimate gravitational component along the three axis leading to determination of acceleration values and further calculation of measurement of each dimension of the physical object.

Abstract: A cost-effective and robust method for localizing and tracking drowsiness state of the eyes of driver by using images captured by near infrared (IR) camera disposed on the vehicle, the said method comprising the processor implemented steps of: Real-time tracking of the face and localizing eye bounding box within the face bounding box in the captured image by comparing the gray values with threshold using the segmentation process; tracking the eyes by computing the centroid of the eye, target model histogram and target candidate model histogram for one location to another by comparing them to identify distance and calculating the displacement of the target center by the weighted means, wherein the target model histogram and target candidate model histogram are computed based on the feature space; and detecting the drowsiness state of the eyes using histogram equalization, Morphological operations and texture based parameters using histogram and grey level co-occurrence matrices.

Abstract: Disclosed is a method and system for constructing a 3D structure. The system of the present disclosure comprises an image capturing unit for capturing images of an object. The system comprises of a gyroscope, a magnetometer, and an accelerometer for determining extrinsic camera parameters, wherein the extrinsic camera parameters comprise a rotation and a translation of the images. Further the system determines an internal calibration matrix once. The system uses the extrinsic camera parameters and the internal calibration matrix for determining a fundamental matrix. The system extracts features of the images for establishing point correspondences between the images. Further, the point correspondences are filtered using the fundamental matrix for generating filtered point correspondences. The filtered point correspondences are triangulated for determining 3D points representing the 3D structure. Further, the 3D structure may be optimized for eliminating reprojection errors associated with the 3D structure.

Abstract: A cost effective method for detecting, classifying and tracking the pedestrian present in front of the vehicle by using images captured by near infrared (IR) camera disposed on the vehicle, the said method comprises the processor implemented steps of: detecting the road to focus of attention for filtering the region of interest (ROI) objects in the said image by estimating the ground region characterized by identifying smooth regions connected to bottom most part of the image; eliminating the non-ground objects based on their distance to ground; filtering the non-ROI objects based on the shape of such objects by computing the signal to noise ratio (SNR) which is a measure of regularity of the component based on its periodicity of its contour for each of such non-ROI objects; eliminating the non-vertical objects by computing inertial moment relative to x and y axis with respect to the centre of mass of such non-vertical objects; classifying the pedestrians in the analyzed frame of the image based their shape;

Abstract: The present invention discloses a system and method for identifying a moving object in front of a vehicle by using stereo vision based technique. The invention also discloses a method and a system for determining an instantaneous distance between the moving object and the vehicle by processing the image of the moving object through a processor and by filtering and refining the image by using a Kalman filter to remove noise.

Abstract: A cost-effective and robust method for localizing and tracking drowsiness state of the eyes of driver by using images captured by near infrared (IR) camera disposed on the vehicle, the said method comprising the processor implemented steps of: Real-time tracking of the face and localizing eye bounding box within the face bounding box in the captured image by comparing the gray values with threshold using the segmentation process; tracking the eyes by computing the centroid of the eye, target model histogram and target candidate model histogram for one location to another by comparing them to identify distance and calculating the displacement of the target centre by the weighted means, wherein the target model histogram and target candidate model histogram are computed based on the feature space; and detecting the drowsiness state of the eyes using histogram equalization, Morphological operations and texture based parameters using histogram and grey level co-occurrence matrices.

Abstract: A cost effective method for detecting, classifying and tracking the pedestrian present in front of the vehicle by using images captured by near infrared (IR) camera disposed on the vehicle, the said method comprises the processor implemented steps of: detecting the road to focus of attention for filtering the region of interest (ROI) objects in the said image by estimating the ground region characterized by identifying smooth regions connected to bottom most part of the image; eliminating the non-ground objects based on their distance to ground; filtering the non-ROI objects based on the shape of such objects by computing the signal to noise ratio (SNR) which is a measure of regularity of the component based on its periodicity of its contour for each of such non-ROI objects; eliminating the non-vertical objects by computing inertial moment relative to x and y axis with respect to the centre of mass of such non-vertical objects; classifying the pedestrians in the analyzed frame of the image based their shape;