Abstract: The present disclosure provides a camera calibration method and a system thereof. The method includes setting up a camera in a space; establishing or selecting two line segments in the space, and obtaining an image of the space including the two line segments, and obtaining heights and image coordinates of upper and lower endpoints of the two line segments; calculating a focal length, a first rotation angle, a second rotation angle and a third element of a translation vector of the camera based on the information of the two line segments; calculating a third rotation angle of the camera based on a reference direction and the camera information obtained above; calculating a first element and a second element of the translation vector of the camera based on a reference point and the camera information obtained above.

Abstract: The present disclosure provides a camera calibration method and a system thereof. The method includes setting up a camera in a space; establishing or selecting two line segments in the space, and obtaining an image of the space including the two line segments, and obtaining heights and image coordinates of upper and lower endpoints of the two line segments; calculating a focal length, a first rotation angle, a second rotation angle and a third element of a translation vector of the camera based on the information of the two line segments; calculating a third rotation angle of the camera based on a reference direction and the camera information obtained above; calculating a first element and a second element of the translation vector of the camera based on a reference point and the camera information obtained above.

Abstract: An image analysis method includes the flowing steps. Firstly, an image stream is received. Then, a to-be-analyzed frame of the image stream is analyzed to obtain a scene type of the to-be-analyzed frame. Then, whether the scene type of the to-be-analyzed frame is a classification of needing posture analysis is determined. Then, a human body posture of a human body image of the to-be-analyzed frame is obtained when the scene type of the to-be-analyzed frame is the classification of needing posture analysis. Then, an event type of the to-be-analyzed frame according to the scene type and the human body posture is determined.

Abstract: A method for detecting a human skeleton is provided. The method includes: receiving a video frame, wherein the video frame comprises a human body; determining whether the video frame comprises prediction information; determining whether a first intra-coded macroblock (IMB) ratio of a target area comprising the human body in the video frame is greater than a first threshold when the video frame comprises the prediction information; and using a motion vector (MV) to estimate skeleton information of the human body when the first IMB ratio of the target area is not greater than the first threshold.

Abstract: A method for detecting a human skeleton is provided. The method includes: receiving a video frame, wherein the video frame comprises a human body; determining whether the video frame comprises prediction information; determining whether a first intra-coded macroblock (IMB) ratio of a target area comprising the human body in the video frame is greater than a first threshold when the video frame comprises the prediction information; and using a motion vector (MV) to estimate skeleton information of the human body when the first IMB ratio of the target area is not greater than the first threshold.

Abstract: An iterative decoding device applied for a SISO (soft input soft output) system is disclosed, which comprises an operational control unit, a first decoder, and a second decoder. The operational control unit is operative to receive an encoded signal and divide the encoded signal into at least one frame. The first decoder is operative to receive each of the at least one frame and derive a renewed intrinsic information by a first iteration operation. The second decoder is operative to derive soft-information by a second iteration operation based on the renewed intrinsic information, and then transmit the soft-information back to the first decoder for the iteration operation of the next renewed intrinsic information. The operational control unit makes the at least one frame to be calculated respectively by the first decoder and the second decoder, thereby improving the efficiency and error ratio of a receiver.

Abstract: An iterative decoding device applied for a SISO (soft input soft output) system is disclosed, which comprises an operational control unit, a first decoder, and a second decoder. The operational control unit is operative to receive an encoded signal and divide the encoded signal into at least one frame. The first decoder is operative to receive each of the at least one frame and derive a renewed intrinsic information by a first iteration operation. The second decoder is operative to derive soft-information by a second iteration operation based on the renewed intrinsic information, and then transmit the soft-information back to the first decoder for the iteration operation of the next renewed intrinsic information. The operational control unit makes the at least one frame to be calculated respectively by the first decoder and the second decoder, thereby improving the efficiency and error ratio of a receiver.

Abstract: Disclosed herein are a method and an apparatus for stream sharing, the apparatus comprising a buffer module, a sharing module, and an adjusting module. The sharing module receives a stream based on a first scheduling window and stores received segments of that stream in the buffer module, each received segment corresponding to a receiving time-point. A sharing request including a second scheduling window is received. Among the received segments the sharing module sends one or more requested segments, each of which further corresponding to a sending time-point. The adjusting module selectively adjusts the first scheduling window based on the corresponding receiving time-point and sending time-point of each requested segment. Also disclosed is a stream sharing system which comprises a stream source apparatus for hosting a stream and at least one stream sharing apparatus.

Abstract: Disclosed herein are a method and an apparatus for stream sharing, the apparatus comprising a buffer module, a sharing module, and an adjusting module. The sharing module receives a stream based on a first scheduling window and stores received segments of that stream in the buffer module, each received segment corresponding to a receiving time-point. A sharing request including a second scheduling window is received. Among the received segments the sharing module sends one or more requested segments, each of which further corresponding to a sending time-point. The adjusting module selectively adjusts the first scheduling window based on the corresponding receiving time-point and sending time-point of each requested segment. Also disclosed is a stream sharing system which comprises a stream source apparatus for hosting a stream and at least one stream sharing apparatus.