Designing a 3D human movement analysis system

Yodpijit, Nantakrit; Pongmit, Kengkaj; Sittiwanchai, Teppakorn; Jongprasithporn, Manutchanok

doi:10.1109/icetss.2017.8324155

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…H.O.T(Higher-Order-Terms) in ( 3) is an approximation solution, ude to very small value, it can be ignored to reach a simplified version in (4). Then we applied a differential equation based on time and we obtain (5). Since the derivative of the position function with respect to time is velocity, the equation in (5) becomes (6).…”

Section: Optical Flowmentioning

confidence: 99%

“…Then we applied a differential equation based on time and we obtain (5). Since the derivative of the position function with respect to time is velocity, the equation in (5) becomes (6). With , is the velocity component of Optical…”

Section: Optical Flowmentioning

confidence: 99%

“…In this step, the orientation obtained was encoded or converted into HOOF. HOOF is a histogram that serves to collect the orientation value of each pixel in each frame within a certain range of angles [5]. The 12 parts of the angle division is shown in the Table 1.…”

Section: Step 6: Compute the Orientationmentioning

confidence: 99%

See 2 more Smart Citations

Detection of Human Movement Direction Using Optical Flow Analisys on Multiple Camera Angles

Wahyuni

Iqbal²,

Farahiya³

2021

JNTE

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The active movement of children poses a safety risk in the absence of adult supervision. To reduce the risk of accidents in children, an automatic detection system for the direction of children's movements is crucially needed. In this study, detection of the direction of human movement based on image processing was carried out with the input of videos produce from 4 CCTV installed in each corner of the room. The system will detect the direction of object movement with classification of orientation, namely front, back, right and left. The detection method used in this research is Optical Flow. Optical Flow will calculate the value of the direction or orientation of the movement of an object. The orientation obtained is then accumulated with HOOF (Histogram Orientation of Optical Flow), where HOOF will collect the orientation of objects on the whole frame according to a 8-part Cartesian angle. The results of the orientation with Optical Flow will be compared with the direction of detection measured manually to determine whether the detection of movement direction using Optical Flow is running well. According to the results, it is known that the Optical Flow method has succeeded in detecting the direction of movement accurately based on different camera angles.

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Section: Optical Flowmentioning

confidence: 99%