SYSTEM AND METHOD FOR HOME HEALTH CARE MONITORING
First Claim
1. A method of monitoring the health of a patient in the patient'"'"'s home, the method comprising:
- capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within the patient'"'"'s home, including capturing two-dimensional image data and depth data for each video sequence;
associating the depth data with the video sequences as metadata;
setting a plurality of events to monitor associated with the patient, the events defined to include actions captured from at least two of the plurality of cameras;
performing video content analysis on the plurality of video sequences to determine whether the events have occurred, wherein the video content analysis includes;
automatically detecting a potential human object from the video sequences based on the two-dimensional image data;
using the depth data to determine a size and position of the potential human object;
based on the size of the potential object, confirming that the potential human object is an actual human, thereby confirming the potential human object as a target; and
determining that a first event has occurred based on the determined position of the target.
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Abstract
A home health care monitoring method and system are disclosed. In one embodiment, a method includes: capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within a patient'"'"'s home, including capturing two-dimensional image data and depth data for each video sequence; defining a plurality of events to monitor associated with the patient, the events including, during a predetermined time period, at least (1) the patient'"'"'s body being in a particular position for at least a predetermined amount of time; performing depth-enhanced video content analysis on the plurality of video sequences to determine whether the event (1) has occurred. The video content analysis may include: for each of at least two cameras: automatically detecting a human object based on the two-dimensional image data; using the depth data to confirm whether the human object is in the particular position; and based on the confirmation, tracking an amount of time that the human object is in the particular position; and then determining that the event (1) has occurred based on the collective tracked amount of time.
119 Citations
20 Claims
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1. A method of monitoring the health of a patient in the patient'"'"'s home, the method comprising:
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capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within the patient'"'"'s home, including capturing two-dimensional image data and depth data for each video sequence; associating the depth data with the video sequences as metadata; setting a plurality of events to monitor associated with the patient, the events defined to include actions captured from at least two of the plurality of cameras; performing video content analysis on the plurality of video sequences to determine whether the events have occurred, wherein the video content analysis includes; automatically detecting a potential human object from the video sequences based on the two-dimensional image data; using the depth data to determine a size and position of the potential human object; based on the size of the potential object, confirming that the potential human object is an actual human, thereby confirming the potential human object as a target; and determining that a first event has occurred based on the determined position of the target. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of monitoring the health of a patient in the patient'"'"'s home, the method comprising:
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capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within the patient'"'"'s home, including capturing two-dimensional image data and depth data for each video sequence; defining a plurality of events to monitor associated with the patient, the events including, during a predetermined time period, at least (1) the patient'"'"'s body being in a particular position for at least a predetermined amount of time; performing depth-enhanced video content analysis on the plurality of video sequences to determine whether the event (1) has occurred, wherein the video content analysis includes; for each of at least two cameras; automatically detecting a human object based on the two-dimensional image data; using the depth data to confirm whether the human object is in the particular position; and based on the confirmation, tracking an amount of time that the human object is in the particular position; and determining that the event (1) has occurred based on the collective tracked amount of time. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A home health monitoring system, comprising:
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a plurality of cameras in different rooms in a home, the different cameras configured to capture two-dimensional image data and depth data from a plurality of respective video images; a central computer system configured to perform video content analysis based on the two-dimensional image data and the depth data; and one or more communication media configured to transmit data from the plurality of cameras to the central computer system, wherein the video content analysis includes; setting a plurality of events to monitor associated with an inhabitant in the home, the events including, during a predetermined time period, (1) the patient'"'"'s body being in a particular position for at least a predetermined period of time; performing video content analysis on the plurality of video sequences to determine whether the event (1) has occurred, wherein the video content analysis includes; for each of at least two cameras; automatically detecting a human object based on the two-dimensional image data; using the depth data to confirm whether the human object is in the particular position; and based on the confirmation, tracking an amount of time that the human object is in the particular position; and determining that the event (1) has occurred based on the tracked amount of time. - View Dependent Claims (20)
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Specification