Incremental Learning Approach for Events Detection from Large Video Dataset

Abstract

In this paper, we propose a strategy of multi-SVM incrementallearning system based on Learn++ classifier for detectionof predefined events in the video. This strategy is offlineand fast in the sense that any new class of event can belearned by the system from very few examples. The extractionand synthesis of suitably video events are used for thispurpose. The results showed that the performance of oursystem is improving gradually and progressively as we increasethe number of such learning for each event. We thendemonstrate the usefulness of the toolbox in the context offeature extraction, concepts/events learning and detectionin large collection of video surveillance dataset.