  To enhance precision and comprehensiveness in identifying targets in electric
power construction monitoring video, a novel target recognition algorithm
utilizing infrared imaging is explored. This algorithm employs a color
processing technique based on a local linear mapping method to effectively
recolor monitoring images. The process involves three key steps: color space
conversion, color transfer, and pseudo-color encoding. It is designed to
accentuate targets in the infrared imaging. For the refined identification of
these targets, the algorithm leverages a support vector machine approach,
utilizing an optimal hyperplane to accurately predict target types. We
demonstrate the efficacy of the algorithm, which achieves high target
recognition accuracy in both outdoor and indoor electric power construction
monitoring scenarios. It maintains a false recognition rate below 3% across
various environments.
