Aiming at insulator tracking problems of multi-rotor unmanned aerial vehicle（ UAV） in power inspection

put forward a kind of dimension self-adaptive insulator tracking algorithm

adopting way of sparse projection to make dimensionality reduction on original image

it uses naive Bayesian classifier to make secondary classification to improve problem of classical compressive sensing（ CS） tracking research frame

uses Lab space characteristics of insulator to make segmentation and changes scale of tracking box according to effective pixel percentage of insulator to solve the fixed search box problem in Compressive Tracking. Experimental result indicates that this algorithm can make change in scale variations of insulator self- adaptively in lab and field environment

it has important meanings for intelligence of power inspection.