Multi-scale, multi-resolution image decompositions are efficacious for real-time target tracking applications. In these real-time systems, objects are initially located using coarse descriptions of the original image. These coarse scale results then guide and refine further inspection, with queries of higher resolution image representations restricted to regions of potential objects occurrence. The result is the classical coarse-to-fine search. In this paper, we describe a method for generating an adaptive template within the coarse-to-fine framework. Causality properties between image representations are directly exploited and lead to a template mechanism that is resilient to noise and occlusion. With minimal computational requirements, the method is well suited for real-time application.