1. A system, comprising: at least one memory that stores computer executable components; and at least one processor that executes the following computer executable components stored in the at least one memory: a detector component that extracts Histogram of Gradient (HOG) features from grid regions associated with a visual image to facilitate detection of a location of an object of interest in the visual image; and a classifier component that uses a trained linear filter model to determine whether the visual image potentially contains the object of interest based at least in part on the HOG features, wherein the classifier component clusters a subset of filter activations associated with the trained filter model to generate a cluster of filter activations that identifies a potential location of the object of interest in the visual image, and wherein the classifier component determines whether the cluster of filter activations is associated with the object of interest in the visual image based at least in part on a Hough transform and a weighted sum of filter activation scores of the subset of filter activations within the cluster of filter activations.