Industrial Technology Research Institute

Cywee Group Limited

Wen-Yang Wang

Po-Lung Chen

Chien-Chun Kuo

Duan-Li Liao

Zhou Ye

Sheng-Wen Jeng

Yu-Sheng Lai

Wen-Hung Ting

Yao-Yang Tsai

Ko-Shyang Wang

Chih-Pin Liao

A method of detecting feature points of an object in a system for motion detection includes obtaining a first image of the object from a first camera and a second image of the object from a second camera, extracting a foreground image from each of the first image and the second image, based on an assumption that the foreground image is a T-pose image, segmenting the foreground image into a first set of sections, identifying a first set of feature points associated with the first set of sections, obtaining a T-pose image with a set of predetermined feature points, and determining whether the foreground image is a T-pose image by comparing the first set of feature points with the set of predetermined feature points.

Method of detecting feature points of an object in a system for motion detection

According to one exemplary embodiment, a smoothing method for time data sequences is performed, which includes: smoothing original data points of a time data sequence, then from smoothed data points, determining reference points for a global trajectory and a local trajectory; according to the reference points, calculating a direction of the global trajectory and a direction of the local trajectory; and adaptively calculating new data point(s) by integrating the two directions. The trajectory of new data points maintains the properties of smoothness and real-time perception.

Smoothing method and apparatus for time data sequences

A computing device for motion detection in a system capable of detecting feature points of an object of interest is disclosed. The computing device includes a vector forming unit to form a plurality of vectors associated with a set of the feature points and form a vector set based on the vectors, a posture identifying unit to identify a match of a posture in a database based on the vector set, a motion similarity unit to identify a set of predetermined postures in the database based on the matched posture and an immediately previous matched posture, and a motion identifying unit to identify a predetermined motion in the database based on the set of predetermined postures.

Computing device and method for motion detection

A computing device in a system for motion detection comprises an image processing device to determine a motion of an object of interest, and a graphical user interface (GUI) module to drive a virtual role based on the motion determined by the image processing device. The image processing device comprises a foreground extracting module to extract a foreground image from each of a first image of the object of interest taken by a first camera and a second image of the object of interest taken by a second camera, a feature point detecting module to detect feature points in the foreground image, a depth calculating module to calculate the depth of each of the feature points based on disparity images associated with the each feature point, the depth calculating module and the feature point detecting module identifying a three-dimensional (3D) position of each of the feature points, and a motion matching module to identify vectors associated with the 3D positions of the feature points and determine a motion of the object of interest based on the vectors.

Method and computing device in a system for motion detection

A system for estimating a location of an occluded skeleton, a method for estimating a location of an occluded skeleton and a method for reconstructing an occluded skeleton are provided. The method for estimating a location of an occluded skeleton comprises the following steps: Firstly, a trace of a reference central point of a body is estimated according to a plurality of continuously moving images. Next, a human movement state is estimated according to the trace and a motion information of the continuously moving images free of skeleton occlusion. Then, a possible range of the occluded skeleton for maintaining human balance is calculated according to the human movement state. Afterwards, a current motion level of the occluded skeleton is predicted according to a historic motion information of the occluded skeleton. Lastly, the location of the occluded skeleton is estimated according to the current motion level and the possible range.

System for estimating location of occluded skeleton, method for estimating location of occluded skeleton and method for reconstructing occluded skeleton

The present invention relates to a system and a method for location determination using time differences. The method of the invention comprises the steps of: transmitting a transmission signal by using a directional transmitter rotating at an angular velocity, the transmission signal comprising a transmission identification and the transmitting time; receiving the transmission signal by using an omnidirectional transceiver, and adding a personal identification to the transmission signal to be a response signal; transmitting the response signal; receiving the response signal by using an omnidirectional receiver and recording the receiving time; and calculating the location of the omnidirectional transceiver corresponding to the directional transmitter according to the difference between the receiving time and the transmitting time. By utilizing the system and the method of the invention, the corresponding location of the omnidirectional transceiver can be calculated accurately without disposing a lot of sensors in the space, and the system of the invention need not be reconfigured for new environments. Therefore, the conventional problems of high installation cost and complicated settings can be improved.

Growing community of inventors

Kaohsiung, Taiwan

Wen-Yang Wang