Detection of animate or inanimate objects
First Claim
Patent Images
1. A method implemented at least in part by a data processing system, the method for detecting objects in an environment, and the method comprising:
- receiving image data representing a captured image of the environment or a portion thereof;
receiving electric-field data from or derived from a bio-electric field sensing system including non-contact bio-electric field sensors, the electric-field data including bio-electric-field data sensed from bio-electric fields present in the environment or a portion thereof, and the electric-field data and the image data representing information gathered from an overlapping portion of the environment;
detecting a candidate object in the overlapping portion of the environment and classifying the candidate object as animate or inanimate, based at least upon an analysis of the image data and the electric-field data, wherein the analysis of the electric-field data includes an evaluation of whether the electric-field data includes at least a bio-electric field; and
storing information pertaining to results of the classifying in a processor-accessible memory system.
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Abstract
Image data representing a captured image of an environment or a portion thereof, and electric-field data representing electric fields present in the environment or a portion thereof are received. The electric-field data and the image data represent information gathered from an overlapping portion of the environment. A candidate object is identified in the overlapping portion and classified as animate or inanimate based at least upon an analysis of the image data and the electric-field data.
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Citations
27 Claims
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1. A method implemented at least in part by a data processing system, the method for detecting objects in an environment, and the method comprising:
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receiving image data representing a captured image of the environment or a portion thereof; receiving electric-field data from or derived from a bio-electric field sensing system including non-contact bio-electric field sensors, the electric-field data including bio-electric-field data sensed from bio-electric fields present in the environment or a portion thereof, and the electric-field data and the image data representing information gathered from an overlapping portion of the environment; detecting a candidate object in the overlapping portion of the environment and classifying the candidate object as animate or inanimate, based at least upon an analysis of the image data and the electric-field data, wherein the analysis of the electric-field data includes an evaluation of whether the electric-field data includes at least a bio-electric field; and storing information pertaining to results of the classifying in a processor-accessible memory system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for detecting objects in a local environment comprising:
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operating at least one camera to acquire images and associated image data of the local environment and objects therein; detecting and locating candidate objects in the local environment based at least upon an analysis of the image data; operating at least one non-contact bio-electric field sensor to acquire electric-field data including bio-electric-field data from at least one source of bio-electric fields that are present within the local environment; detecting and locating candidate objects in the local environment based at least upon an analysis of the acquired bio-electric-field data; and classifying at least one of the candidate objects as animate or inanimate at least by comparing the acquired bio-electric-field data and the image data. - View Dependent Claims (19, 20, 21)
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22. A processor-accessible memory system storing instructions configured to cause a data processing system to implement a method for detecting objects in an environment, wherein the instructions comprise:
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instructions for receiving image data representing a captured image of the environment or a portion thereof; instructions for receiving electric-field data from or derived from a bio-electric field sensing system using non-contact bio-electric field sensors, the electric-field data including bio-electric-field data sensed from bio-electric fields present in the environment or a portion thereof, and the electric-field data and the image data representing information gathered from an overlapping portion of the environment; instructions for detecting a candidate object in the overlapping portion of the environment and classifying the candidate object as animate or inanimate, based at least upon an analysis of the image data and the received electric-field data, wherein the analysis of the electric-field data includes an evaluation of whether the electric-field data includes at least a bio-electric field; and instructions for storing information pertaining to results of the classifying in a processor-accessible memory system.
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23. A system comprising:
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a data processing system; a camera system communicatively connected to the data processing system; an electric-field-sensing system that senses electric fields including bio-electric fields using non-contact bio-electric field sensors, the sensing system communicatively connected to the data processing system; and a memory system communicatively connected to the data processing system and storing instructions configured to cause the data processing system to implement a method for identifying objects in an environment, wherein the instructions comprise; instructions for receiving, from the camera system, image data representing a captured image of the environment or a portion thereof; instructions for receiving, from the electric-field-sensing system, electric-field data including bio-electric-field data sensed from bio-electric fields present in the environment or a portion thereof, the electric-field data and the image data representing information gathered from an overlapping portion of the environment; instructions for detecting a candidate object in the overlapping portion of the environment and classifying the candidate object as animate or inanimate based at least upon an analysis of the image data and the electric-field data, wherein the analysis of the electric-field data includes an evaluation of whether the electric-field data includes at least a bio-electric field; and instructions for storing information pertaining to results of the classifying in the processor-accessible memory system. - View Dependent Claims (24, 25, 26, 27)
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Specification