Abstract:
WITH THE GROWING MARKET FOR VIDEO SURVEILLANCE IN SECURITY AREA, THERE IS A NEED FOR AN AUTOMATED SYSTEM WHICH PROVIDES A WAY TO TRACK AND DETECT HUMAN INTENTION BASED ON A PARTICULAR HUMAN MOTION. THE PRESENT INVENTION RELATES TO A SYSTEM AND A METHOD FOR IDENTIFYING HUMAN BEHAVIORAL INTENTION BASED ON EFFECTIVE MOTION ANALYSIS WHEREIN, THE SYSTEM OBTAINS A SEQUENCE OF RAW IMAGES TAKEN FROM LIVE SCENE AND PROCESSES THE RAW IMAGES IN AN ACTIVITY ANALYSIS COMPONENT. THE ACTIVITY ANALYSIS COMPONENT IS FURTHER PROVIDED WITH AN ACTIVITY ENROLLMENT COMPONENT AND ACTIVITY DETECTION COMPONENT. THE MOST ILLUSTRATIVE DRAWING:
Abstract:
A method of identity recognition via human (subject) lip images is proposed. The method includes registration (140) of templates (135) of the lip images for known subjects for later matching with lip images from subjects for identification, by digitally matching (740) with the registered templates (135). The lip portions are divided in four quadrants (410-440) for feature extraction which permits template matching (740) even when only partial Hp images are available for identification. The method includes classifying (220) the lips into categories, for defined characteristic features to be extracted, where the different categories of lips (310-350) contain different prominent features that are unique for representation. The feature extraction from the quadrants may be done in different orientations (610-640). The acquisition of the lip images (110,710) is by available image sensor technologies such as optical imaging, thermal imaging, ultrasonic imaging, passive capacitance and active capacitance imaging.
Abstract:
The present invention provides a method for indentifying loitering event occurred on an object within an area of interest from a video stream. The method comprises detecting one or more the objects entering the area-of-interest; extracting (104) an entering time and properties of each of the objects; storing (104) the entering times ad properties of the objects; computing (110) a time-stamp for each object based on a difference between a current time and the entering time of the corresponding object; and identifying (112) a loitering event when the time-stamp is longer than a predetermined period.
Abstract:
With the growing market for video surveillance in security area, there is a need for an automated system which provides a way to track and detect human intention based on a particular human motion. The present invention relates to a system and a method for identifying human behavioral intention based on effective motion analysis wherein, the system obtains a sequence of raw images taken from live scene and processes the raw images in an activity analysis component. The activity analysis component is further provided with an activity enrollment component and activity detection component.
Abstract:
The present invention, in one embodiment, is a method of prediction techniques to the execution time of programs or jobs. The invention describes the method or process to handle the complexity of nested iterations and conditional statements.