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.

通过红外成像技术，使用基于局部线性映射方法的颜色处理技术的新型目标识别算法，强调电力施工视频监控中的目标，并结合支持向量机方法实现目标类型的准确预测，实现了高目标识别准确率和低误识率的目标识别算法。