Anfis Classifier Based Moving Object Detection and Segmentation in Indoor and Outdoor Environments

Conclusion: In this paper, moving object is detected and segmented using ANFIS classifier. The proposed method initially segments the background image and then features are extracted from the threshold image. These features are trained and classified using ANFIS classification method. The proposed moving object detection method is tested on different video sequences which are obtained from different indoor and outdoor environments. The performance of the proposed moving object detection and segmentation methodology is analyzed in terms of Accuracy, Recall, Average Accuracy, Precision and F-measure.
Source: Current Signal Transduction Therapy - Category: Molecular Biology Source Type: research