Transformer substation video target detection method based on time sequence

• Main Authors: WANG TAOWEI, TIAN ERSHENG, QIN SANYING, MA HUIZHUO, ZHANG ZHENGWEN, WANG LU, CHEN JIE, MA TAO, NIE XIANGXIN, DUAN WEIPENG, YAN CAILI, ZHANG YUSEN, ZHU ZHIYONG
• Format: Patent
• Language: Chinese; English
• Published: 26.02.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a transformer substation video target detection method based on a time sequence, and the method comprises the following steps: constructing a transformer substation moving target detection model, and calibrating the data contents of a plurality of pieces of equipment in a transformer substation monitoring video; constructing a background updating model based on a Gaussian mixture model, and extracting periodically moving pixels in the substation monitoring video; and solving the background updating model by adopting a foreground object extraction method based on dynamictime warping. By constructing a transformer substation moving target detection model and a background updating model based on a Gaussian mixture model, data contents of main equipment in a monitoringvideo are calibrated, and periodically moving pixels in the transformer substation monitoring video are extracted, so that accurate identification of a transformer substation video target is realized; the problem that an exis