Wistron Corporation

Yi-Sheng Chao

Yu-Yen Chen

Zhao-Yuan Lin

Chun-Peng Hsu

Zhe-Yu Lin

Ming-Che Ho

Yu-Wen Huang

Shang-Min Yeh

Yueh-Chi Hung

Yu-Jie Huang

Chun-peng Hsu

The disclosure provides an image identifying method and an image identifying device. The method includes: retrieving a first computer tomographic (CT) image including a plurality of first pixels; retrieving a plurality of second pixels from the first pixels, and generating a second CT image based on the second pixels; performing a contrast enhancement algorithm on the second CT image to adjust a contrast of the second CT image; identifying a first image region in the second CT image to generate a third CT image, wherein the first image region includes a first object; dividing the third CT image into a plurality of sub-images, and only reserving a specific image region corresponding to the first object in each sub-image; combining the sub-images into a fourth CT image; and identifying an object type of the first object based on the fourth CT image.

Image identifying method and image identifying device

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.

Falling detection method and electronic system using the same

An analysis method of lane stripe images, an image analysis device and a non-transitory computer readable medium thereof are provided to perform steps of: setting a reference point as a center to recognize the lane stripe image in a plurality of default directions; defining a plurality of preset sections onto the lane stripe image and determining a characteristic value of the lane stripe image in each of the preset sections whenever the lane stripe image is recognized in one of the default directions; determining a first feature parameter according to the characteristic values of the lane stripe image in the preset sections when the lane stripe image is recognized in at least one of the default directions; and determining an actual lane parameter of the lane stripe image according to at least the first feature parameter.

Analysis method of lane stripe images, image analysis device, and non-transitory computer readable medium thereof

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Taipei, Taiwan

Yi-Sheng Chao