期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：5388-5397
DOI：10.9756/INT-JECSE/V14I3.702
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：To recognize the maneuver action using the Support Vector Machine algorithm compared with ViBe algorithm. Materials and Methods: Support Vector Machine and ViBe algorithm with sample size (N=32) were iterated 10 times to detect the object accuracy. Novel Maneuver action detection includes the detection of objects from previous historical data. Results and Discussion: The accuracy for maneuver action detection in Support Vector Machine (97.91%) and in ViBe algorithm (91.86) is obtained. There was a statistical significance between Support Vector Machine andViBe algorithm (p=0.005). For each algorithm, 20 samples iterated and G power were calculated as actual power of 80% and alpha value set as 0.025. Conclusion: Detection of maneuver action using Support Vector Machine algorithm appears to be significantly better than ViBe algorithm with improved accuracy.
