Dynamic Threshold for Morphological Change Detection Algorithm

Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. Real time applications require simple, fast and reliable algorithms for change detection methodology. Morphological change detection algorithm satisfies these requirements. Threshold is a very important issue for morphological change detection. Threshold is static in existing Morphological Change Detection Algorithm [12]. We are introducing a technique to make Threshold dynamic. The proposed Dynamic Threshold determination technique may also be used in Moving object detection.