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:
A METHOD OF TRACKING AND ANALYZING MOVEMENT OF AT LEAST ONE SUBJECT IN AN ENVIRONMENT, THE METHOD INCLUDES THE STEPS OF OBTAINING AT LEAST ONE IMAGE, DETERMINING A RESTRICTED REGION IN THE ENVIRONMENT, CLASSIFYING MOTION DETECTION OF AT LEAST ONE SUBJECT IN THE LEAST ONE IMAGE INTO MOTION OF AT LEAST ONE ADULT OR AT LEAST ONE CHILD, DETERMINING LOCATION OF THE AT LEAST ONE CHILD, ANALYZING SPEED AND DIRECTION OF MOVEMENT OF THE AT LEAST ONE CHILD AND TRIGGERING AN ALARM.
Abstract:
THE PRESENT INVENTION RELATES TO A SYSTEM AND METHOD OF SURVEILLANCE TO DETECT LOITERING EVENT, MORE PARTICULARLY TO A SYSTEM AND METHOD TO DETECT LOITERING EVENTS DURING OCCLUSION, NON-OCCLUSION OR BOTH IN A REGION, WHEREIN THE SYSTEM COMPRISES A SUBTRACTING MEANS (100), A TRACKING MEANS (101), A TIMER MEANS (102), A STORAGE MEANS (103), AND A PROCESSOR (104) ELECTRICALLY COUPLED TO THE STORAGE MEANS (105) FOR PROCESSING THE METHODS OF DETERMINING A LOITERING EVENT.SINCE THE SYSTEM IS ABLE TO DETECT LOITERING EVENTS DURING OCCLUSION AND NON OCCLUSION, A METHOD OF IMPLEMENTING MULTI-TIMER APPROACH IS ADAPTED INTO THE SYSTEM; ADDITIONALLY SAID ADAPTED METHOD IS CAPABLE OF DETECTING OF RE-APPEARING SUBJECTS.
Abstract:
The present invention relates to a method and system for identifying animals based on their physical attributes and more particularly to a method and system for identifying and authenticating animals based on a plurality of their physical attributes through a computerized system provided with suitable image capturing means. First, the animal's physical attributes such as body patterns, paw prints and nose prints (1) are captured via the image capturing means. Such image capturing means include cameras, scanners, imagers and the like. The captured images are subjected to image processing techniques and feature extraction (2) is applied to the captured images to extract the key features associated with the animal and a template is created (3) for each animal. Templates which represent the extracted physical attributes of each animal are stored in a database (4). Whenever an animal is to be identified and/or authenticated, the process of obtaining the physical attributes and features extraction of the physical attributes is repeated to create a new template. Then, a pattern matching process is utilized where the stored template (4) is retrieved and compared (5) against the new template.
Abstract:
One embodiment of the present invention provides a system (800) for detecting loitering event in region of interest. Another embodiment of the present invention provides a method (900) for detecting loitering event in region of interest. The method comprising steps of determining presence of at least one object in region of interest (902), tagging each object of interest with identity (904), computing total time stamp for each object of interest (906), determining time span of each object of interest based on trajectory information and speed profile (908), detecting loitering event based on combination of plurality of determining features (910) and triggering alert when loitering event is detected (912).Total timestamp for each object of interest is computed by classifying each object as normal or suspicious by applying plurality of loitering thresholds by further establishing first threshold value TS to determine loitering event depending on time span of each object (1202); determining loitering event when total time span for object ti in region of interest is greater than first threshold value Ts (1204); establishing second threshold value TL to determine loitering event depending on time span status of each object (1206); and determining loitering event when a total time span for object ti in region of interest is greater than second threshold value TL and its trajectory status is abnormal (1208).
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.
Abstract:
A method to detect an abnormal event in a surveillance system using wide view video images is disclosed herein. More particularly the invention provides a solution to overcome the image distortions that are associated with the wide video images.
Abstract:
The present invention relates to an apparatus and method for volumetric multi- modal hand biometric identification characterized in that wherein the present invention comprises of an illumination source for emitting near infra-red (0.75-1.4 µm in wavelength) and structured light, a camera system with a recorder adapted to capture an image of the object in a digital form; and data fusion that processes the data representation to produce useful information to the system managers and wherein palm prints are extracted from scanners which scanned the palm in which vein pattern biometrics records subcutaneous infra red absorption patterns to produce unique and private identification templates of a user.