Systems, methods and computer program products for identifying objects in video data

• US 9,336,456 B2
• Filed: 08/21/2012
• Issued: 05/10/2016
• Est. Priority Date: 01/25/2012
• Status: Expired due to Fees

• Current Assignee: Bruno Delean
• Original Assignee: Bruno Delean
• Inventors: DeLean, Bruno
• Primary Examiner(s): Akhavannik, Hadi
• Application Number:
  US13/590,384
• Publication Number:
  US 20130216094A1
• Time in Patent Office: 1,358 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 18/217 Validation; Performance evaluation; Active pattern learning techniques
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16

Abstract

Image based operating systems and methods are provided that identify objects in video data and then take appropriate action in a wide variety of environments. In some embodiments, the image based operating systems and methods allow a user to activate other devices and systems by making a gesture.

Claims

1. An image based operating system, comprising:

a camera; and

a computer in data connection with the camera, the computer comprising or being in communication with an executable computer program code for implementing a method comprising (i) analyzing a plurality of sequential frames from a feed of frames, (ii) selecting in each frame, one or more unit areas of interest, (iii) applying to each unit area a plurality of detectors, wherein each detector provides a value expressing one aspect of a target object, (iv) assembling data in a sample vector, wherein the data comprises a plurality of components and each component is the individual value outcome of a given detector applied on a given unit area from a given frame, and (v) evaluating the performance of the sample vector by counting in the vicinity of the sample vector, all vectors known with the target object to form a first count, and counting all vectors known with or without the target object, as acquired during a training phase to form a second count, wherein the ratio of the first count to the second count estimates the probability of the presence of the target object, and the computer comprising a module for outputting the results of said method, wherein if a threshold probability of presence is met said results indicate that an object has been identified,

wherein after the object has been identified, said computer causes another system to activate, the other system comprising at least one of a security system, an alarm system, a communications system, an automated teller system, a banking system, a safe, another camera system, a speaker system, a microphone, another computer, a server, a laptop, a handheld computer, a bluetooth enabled device, an entertainment system, a television, a recorder, an appliance, a tool, an automobile system, a transportation system, a vehicle system, a sensor, an emitter, a transmitter, a transceiver, an antenna, a transponder, a gaming system, a computer network, a home network, a local area network, a wide area network, the Internet, the worldwide web, a satellite system, a cable system, a telecommunications system, a modem, a telephone, a cellular phone, or a smart phone, and

wherein the computer is capable of identifying a characteristic in a candidate image and taking an action based on the characteristic, the characteristic being a gesture and comprising at least one of movement of an item in an environment, movement of an item into an environment, movement of an item out of an environment, appearance of an item in an image, movement of a hand, finger, limb, head, neck, face, shoulder or a gait of a person, action of a pet, action of a child, action of a person with special needs, or action of an elderly person.

2. The image based operating system according to claim 1, wherein the camera is located in an environment and the environment is at least one of an airport, an airplane, a transportation venue, a bus, a bus station, a train, a train station, a rental car venue, a car, a truck, a van, a workplace, a ticketed venue, a sports arena, a concert arena, a stadium, a sports venue, a concert venue, a museum, a store, a home, a pool, a gym, a health club, a golf club, a tennis club, a parking lot, an ATM, a storage location, a safe deposit box, a bank, or an office.

3. The image based operating system according to claim 2, wherein the environment is the home and wherein the system is used to control access to all or parts of the home based on matching a hand gesture.

4. The image based operating system according to claim 3, wherein the other system triggers an alarm and the object that has been identified is at least one of an intruder, smoke, fire, water, proximity of a child to a dangerous condition, or proximity of an elderly person to a dangerous condition.

5. The image based operating system according to claim 1, wherein the object that has been identified is at least one gesture comprising a thumbs up sign, a thumbs down sign, an okay sign, at least one finger, a hand motion, a head motion, a sign language motion, a lip motion, or an eye motion.

6. The image based operating system according to claim 1, wherein the object that has been identified is in close proximity to another object and is about to collide with the another object.