Abstract: A method, a computing device, and a system for monitoring postures are proposed. The method includes the following steps. An image sequence captured on a monitored area including a monitored subject is received. A first stable value corresponding to a first stage of stability of the monitored subject is detected, where the first stable value is associated with a position corresponding to a posture of the monitored subject remaining consecutively stable within a first predetermined time period. A second stable value corresponding to a second stage of stability of the monitored subject is detected, where the second stable value is associated with a position corresponding to a posture of the monitored subject remaining consecutively stable within a second predetermined time period. The first stable value and the second stable value are compared to accordingly determine whether a posture of the monitored subject has changed.

Abstract: A gesture recognition method and a gesture recognition device are provided. The gesture recognition method includes the steps of: obtaining a hand image including a gesture graphic; determining a reference point in the gesture graphic; determining circular arc reference lines by using the reference point as a center; determining intersection points of each of the circular arc reference lines intersecting with a boundary of the gesture graphic; determining whether at least two finger blocks of a plurality of finger blocks of the gesture graphic conform to an approaching trend according to the circular arc reference lines and the intersection points, and determining whether the at least two finger blocks in a selected range of the gesture graphic forms a continuous graphic block; and when the at least two finger blocks of the gesture graphic conform to the approaching trend and form the continuous graphic block, determining the hand image as a hand pinch image.

Abstract: A gesture recognition method includes performing a binarization process on an image to obtain a binarized image, wherein the binarized image includes a plurality of foreground pixels and a plurality of background pixels; determining whether the plurality of foreground pixels surrounds at least a first background pixel; and determining a gesture complying with a predefined gesture in response to determination that the plurality of foreground pixels surrounds the at least a first background pixel.

Abstract: A method, a computing device, and a system for monitoring postures are proposed. The method includes the following steps. An image sequence captured on a monitored area including a monitored subject is received. A first stable value corresponding to a first stage of stability of the monitored subject is detected, where the first stable value is associated with a position corresponding to a posture of the monitored subject remaining consecutively stable within a first predetermined time period. A second stable value corresponding to a second stage of stability of the monitored subject is detected, where the second stable value is associated with a position corresponding to a posture of the monitored subject remaining consecutively stable within a second predetermined time period. The first stable value and the second stable value are compared to accordingly determine whether a posture of the monitored subject has changed.

Abstract: A gesture recognition method and a gesture recognition device are provided. The gesture recognition method includes the steps of: obtaining a hand image including a gesture graphic; determining a reference point in the gesture graphic; determining circular arc reference lines by using the reference point as a center; determining intersection points of each of the circular arc reference lines intersecting with a boundary of the gesture graphic; determining whether at least two finger blocks of a plurality of finger blocks of the gesture graphic conform to an approaching trend according to the circular arc reference lines and the intersection points, and determining whether the at least two finger blocks in a selected range of the gesture graphic forms a continuous graphic block; and when the at least two finger blocks of the gesture graphic conform to the approaching trend and form the continuous graphic block, determining the hand image as a hand pinch image.

Abstract: A method, a system, and a computer-readable recording medium for image object tracking are provided. A video stream including a previous frame and a current frame is received, wherein the video stream is generated through photographing a space including a moving object by an image capturing device. A moving posture of the moving object determined according to the previous frame is obtained. Whether the moving posture of the moving object is a movement along a first direction or a movement along a second direction is determined. One of different tracking algorithms is selected for performing object tracking according to whether the moving posture of the moving object is the movement along the first direction or the movement along the second direction, to obtain an object feature region associated with the moving object in the current frame. The moving object in the space is tracked according to the object feature region.

Abstract: A method, a system, and a computer-readable recording medium for image-based object tracking are provided. The method includes following steps. A video stream including a plurality of images is received. The video stream is generated through photographing an enclosed space by an image capturing device, and a moving range of a plurality of observed objects is limited to the enclosed space. A plurality of moving objects are detected from the video stream, and frames associated with each of the moving objects are generated for the images. The images include a current image and a previous image. By analyzing position projecting relationship between current frames in the current image and previous frames in the previous image, linking relationship between the current frames in the current image and the observed objects is established. The observed objects in the enclosed space are tracked according to the established linking relationship.

Abstract: A gesture recognition method includes performing a binarization process on an image to obtain a binarized image, wherein the binarized image includes a plurality of foreground pixels and a plurality of background pixels; determining whether the plurality of foreground pixels surrounds at least a first background pixel; and determining a gesture complying with a predefined gesture in response to determination that the plurality of foreground pixels surrounds the at least a first background pixel.

Abstract: A gesture recognition method includes determining whether an object stays within a plurality of video frames for more than a specific time; determining a finger number corresponding to the object to generate a finger number determination result, and determining whether or not the object moves away from a light sensing unit to generate an object moving-away determination result, when the object stays within the plurality of video frames for more than the specific time; and determining a gesture of a user according to the finger number determination result and the object moving-away determination result.

Abstract: A method, a system, and a computer-readable recording medium for image object tracking are provided. A video stream including a previous frame and a current frame is received, wherein the video stream is generated through photographing a space including a moving object by an image capturing device. A moving posture of the moving object determined according to the previous frame is obtained. Whether the moving posture of the moving object is a movement along a first direction or a movement along a second direction is determined. One of different tracking algorithms is selected for performing object tracking according to whether the moving posture of the moving object is the movement along the first direction or the movement along the second direction, to obtain an object feature region associated with the moving object in the current frame. The moving object in the space is tracked according to the object feature region.

Abstract: A method, a system, and a computer-readable recording medium for image-based object tracking are provided. The method includes following steps. A video stream including a plurality of images is received. The video stream is generated through photographing an enclosed space by an image capturing device, and a moving range of a plurality of observed objects is limited to the enclosed space. A plurality of moving objects are detected from the video stream, and frames associated with each of the moving objects are generated for the images. The images include a current image and a previous image. By analyzing position projecting relationship between current frames in the current image and previous frames in the previous image, linking relationship between the current frames in the current image and the observed objects is established. The observed objects in the enclosed space are tracked according to the established linking relationship.

Abstract: A gesture recognition method includes determining whether an object stays within a plurality of video frames for more than a specific time; determining a finger number corresponding to the object to generate a finger number determination result, and determining whether or not the object moves away from a light sensing unit to generate an object moving-away determination result, when the object stays within the plurality of video frames for more than the specific time; and determining a gesture of a user according to the finger number determination result and the object moving-away determination result.