Abstract:
본 발명은 멀티 터치 특징정보 추출방법 및 그 멀티 터치 특징정보를 이용한 멀티 터치 제스처 인식방법에 관한 것으로, 보다 구체적으로는 터치 점에 개수에 의존적이지 않는 멀티 터치 특징정보를 추출할 수 있고, 추출된 멀티 터치 특징정보를 이용하여 제스처 인식의 정확도를 향상시킬 수 있는 멀티 터치 특징정보 추출방법 및 그 멀티 터치 특징정보를 이용한 멀티 터치 제스처 인식방법에 관한 것이다.
Abstract:
본 발명은 다중 영상 객체 추적 방법에 관한 것으로, 보다 구체적으로는 다중 객체 추적시 근거리에 있는 객체들 간에 서로 식별자가 바뀌거나 사라지는 현상인 강탈 현상(hijacking problem)을 방지할 수 있는 추적기의 강탈 회피를 위한 벌점 그래프 기반의 다중 영상 객체 추적 방법에 관한 것이다.
Abstract:
본 발명은 인체 자세 추정 방법에 관한 것으로, 보다 구체적으로는 수치적인 역 운동학에 기반하여 이전시간의 영상의 인체 자세로부터 현재시간의 영상의 인체 자세를 추정하되, 언센티드 칼만 필터를 이용하여 관절의 변화를 갱신함으로써, 인체 자세를 빠르게 추정할 수 있는 수치적인 역 운동학 기반의 언센티드 칼만 필터를 이용한 인체 자세 추정 방법, 그 방법을 실행하기 위한 프로그램이 저장된 컴퓨터로 읽을 수 있는 매체, 그 프로그램을 통신망을 통해 전송할 수 있는 서버 시스템에 관한 것이다.
Abstract:
The present invention relates to an extraction method for multi-touch feature information and a recognition method for multi-touch gestures using the multi-touch feature information, and more specifically, to the extraction method for multi-touch feature information and recognition method for multi-touch gestures using the multi-touch feature information, wherein: multi-touch feature information, which does not depend on the number of touch points, is extracted; and the accuracy in gesture recognition is improved by using the extracted multi-touch feature information.
Abstract:
PURPOSE: A portable terminal and touch recognition method thereof are provided to recognize gesture through plural touch signals by distinguishing the change of patterns for plural images. CONSTITUTION: A touch screen simultaneously receives plural touch signals. A camera unit(121) is arranged at the bottom of the touch screen. The camera unit successively receives plural images including the inputted plural touch signal during fixed time. A control unit(180) determines the change of touch patterns included in each image for each image. The control unit recognizes gestures for the touch signals according to determination results.
Abstract:
PURPOSE: A multi image object tracking program based on a penalty point graph for a hijacking problem of a tracker is provided to add a penalty point, which is in inverse proportion to a distance of a neighbor image object, to a weighted value of each particle, thereby preventing a hijacking problem for object tracking. CONSTITUTION: A multi image object tracking program extracts an image object from a current image. The multi image object tracking program obtains location information of the extracted image object(S2000). The multi image object tracking program labels a new object by a new identifier(S3100). The multi image object tracking program generates a penalty point graph(S4000). The multi image object tracking program predicts a particle group of the each image object(S5000). The multi image object tracking program calculates particle weighted values of predicted particles(S6000). The multi image object tracking program assigns a penalty point to the weighted values(S7000). [Reference numerals] (AA) Start; (BB) End; (S1000) Inputting an image; (S2000) Extracting an image object and obtaining location information; (S3000) Location information; (S3100) Adding to a tracing list; (S4000) Generating a penalty point graph; (S5000) Predicting the particle group of each image object; (S6000) Calculating particle weighted values; (S7000) Applying a penalty point to the particle weighted values; (S8000) Removing particles with '0' weighted values; (S9000) Updating the location of each image object and the penalty point graph; (S9100) Resampling the particle group; (S9200) Is a next image input ?
Abstract:
본 발명은 다중 영상 객체 추적 방법에 관한 것으로, 보다 구체적으로는 다중 객체 추적시 근거리에 있는 객체들 간에 서로 식별자가 바뀌거나 사라지는 현상인 강탈 현상(hijacking problem)을 방지할 수 있는 추적기의 강탈 회피를 위한 벌점 그래프 기반의 다중 영상 객체 추적 방법에 관한 것이다.
Abstract:
PURPOSE: A method for extracting multi touch feature information and a multi touch gesture recognizing method using the multi touch feature information are provided to record the features of a multi touch by edge information at a touched point, thereby providing various feature information of the multi touch during touch gesture recognition. CONSTITUTION: Location information about touched points is received from a touch panel(10). Touch points located within a fixed radius around the touched points correspond each other one to one. Edge information is generated wherein the edge information is made of location information of two touch points which are connected each other. Touch graph information is generated and extracted by multi touch feature information. If updated location information is inputted, the touch graph information is updated based on the updated location information.
Abstract:
PURPOSE: A human body posture estimating method is provided to estimate accurate human body posture by the reflection of Newton step through a numerical inverse kinematic based UKF(Unscented Kalman Filter). CONSTITUTION: A system calculates a prediction rotation value from the joint rotation value of a first image(S3000). The system calculates a measurement location value from the prediction rotation value(S4000). The system calculates a final measurement rotation value through a UKF(Unscented Kalman Filter)(S5000). The system calculates the final measurement location value from a final observation rotation value(S6000). The system estimates a human body posture(S7000, S8000).