Abstract:
A method of determining a touch gesture is utilized for a touch control system. The method includes detecting at least one first touch point on a touch surface corresponding to the touch gesture at a first time point to generate a first detecting result; detecting at least one second touch point on the touch surface corresponding to the touch gesture at a second time point to generate a second detecting result; obtaining a moving vector and a distributing variation corresponding to the touch gesture according to a relationship of the first detecting result and the second detecting result; and determining the touch gesture on the touch surface according to the moving vector and the distributing variation.
Abstract:
A sensing method of optical touch, adapted for providing and sensing a sensing beam through at least one optical sensing module, is provided. The sensing method of optical touch includes the following steps. A plurality of sensing pixel zones of the optical sensing module is selected, and a main incident angle is chosen in an incident angle range according to light intensity sensed by each of the selected sensing pixel zones, wherein the sensing beam entering the optical sensing module at the main incident angle has a maximum light intensity. Main incident angles corresponding to the unselected sensing pixel zones are computed according to the main incident angles corresponding to the selected sensing pixel zones.
Abstract:
A multi-touch system is provided. In the multi-touch system, there is a plurality of touch sensing sub-systems. The touch sensing sub-systems are arranged in a touch sensing row in sequence and the touch sensing row has a pair of longitudinal sides opposite to each other and a pair of end sides opposite to each other. A light reflective frame is configured on one of the longitudinal sides and both of the end sides. Each of the touch sensing sub-systems comprises at least two sensors arranged at two corners of the corresponding touch sensing sub-system at one longitudinal side opposite to the other longitudinal side having the light reflective frame arranged thereon. A sensing range of both of the sensor covers the corresponding touch sensing sub-system.
Abstract:
An optical touch module, a method for determining gestures thereof and a computer-readable medium are provided. The method includes the following steps. A plurality of first sensing results outputted by a first optical sensor which continuously senses a touch area from a first corner of the touch area are obtained. A plurality of second sensing results outputted by a second optical sensor which continuously senses the touch area from a second corner of the touch area are obtained. A gesture is determined according a first center of a plurality of first touch reference points of each of the first sensing results and a second center of a plurality of second touch reference points of each of the second sensing results.
Abstract:
A method of determining noise reduction in a signal includes transforming the signal to generate a spectrogram; determining sharp change in a frequency spectrum for each frame in the spectrogram; and comparing a counted number of frames having sharp change with a predetermined value. The signal is determined to be subject to noise reduction if the counted number is greater than the predetermined value.
Abstract:
A method for identifying a foreground object in an image and an electronic device are provided. The method includes: dividing a first image and a second image to obtain first image blocks in the first image and second image blocks in the second image; comparing the first image blocks with the second image blocks to obtain a plurality of disparity values respectively corresponding to the first image blocks, and generating a disparity image including the disparity values; comparing each disparity value in the disparity image with a first threshold to form a disparity depth image, and selecting a selected block from the disparity depth image to form a first region; and mapping the first region into the first image to identify a mapped object and identify the object as a foreground object.
Abstract:
A method and a computing device for adjusting a region of interest (ROI) are provided. The method includes: receiving a image sequence including a current image and a previous image; generating a predefined searching area based on a previous ROI in the previous image; performing feature matching on multiple image features within the predefined searching area in the previous image and multiple image features within the predefined searching area in the current image; and adjusting a position of the previous ROI in the previous image based on the image features within the predefined searching area in the current image in response to that the image features within the predefined searching area in the current image satisfy a matching condition to obtain the current ROI in the current image.
Abstract:
A falling detection method and an electronic system using the same are provided. The falling detection method includes: obtaining a video stream, and performing recognition on a person in an image of the video stream to obtain at least one human body feature; calculating based on the human body feature to obtain at least one falling related feature; calculating at least one movement trend in a plurality of directions of the person in the video stream by using an optical flow algorithm; inputting the falling related feature and the movement trend to a falling classifier, such that the falling classifier generates an output result indicating whether a falling event happens to the person; and sending an alarm according to the output result.
Abstract:
A method for identifying a foreground object in an image and an electronic device are provided. The method includes: dividing a first image and a second image to obtain first image blocks in the first image and second image blocks in the second image; comparing the first image blocks with the second image blocks to obtain a plurality of disparity values respectively corresponding to the first image blocks, and generating a disparity image including the disparity values; comparing each disparity value in the disparity image with a first threshold to form a disparity depth image, and selecting a selected block from the disparity depth image to form a first region; and mapping the first region into the first image to identify a mapped object and identify the object as a foreground object.
Abstract:
Methods for supplying, ordering, and transacting items based on motion images are proposed. The methods are applicable to a server and include the following steps. A first video stream is received from a first electronic device, and at least one item is identified from the first video stream to generate a frame and a tag associated with each item. An editing operation on a first tag is received from the first electronic device to generate first tag data. The first tag and the first frame are combined into the first video stream to generate a composite video stream. The composite video stream is transmitted to a second electronic device. In response to an ordering operation detected on the first item from the second electronic device, first ordering data is generated according to the first tag data to add the first item into an order list of the second electronic device.