Video object segmentation: A survey

Video object segmentation, a binary labelling problem is vital in various applications including object tracking, action recognition, video summarization, video editing, object based encoding and video retrieval. This paper presents an overview of recent strategies in video object segmentation, focusing on the techniques for solving challenges like complex and moving background, illumination changes, occlusions, motion blur, shadow effect and view point variation. Significant works evolved in this research field over recent years are categorized based on the challenges solved by the researchers. A list of challenging datasets and evaluation metrics available for video object segmentation is presented. Finally, research gaps in this domain are discussed.