Automatic Adaptive Segmentation of Moving Objects Based on Spatio-Temporal Information
نویسندگان
چکیده
This paper suggests a novel segmentation algorithm for separating moving objects from the background in video sequences without any prior information of the sequence nature. We formulate the problem as a connectivity analysis of region adjacency graph (RAG) based on temporal information. The nodes of the RAG represent homogeneous regions and the edges represent temporal information, which is obtained by frames comparison iterations. Connectivity analysis of the RAG nodes is performed after each frames comparison by a breadth first search (BFS) based algorithm. The set of nodes, which achieve maximum weight of theirs surrounding edges are considered as moving object. The number of comparisons that are needed for temporal information is automatically determined.
منابع مشابه
INTERNATIONAL ORGANISATION FOR STANDARDISATION ORGANISATION INTERNATIONALE DE NORMALISATION ISO/IEC JTC1/SC29/WG11 CODING OF MOVING PICTURES AND AUDIO ISO/IEC JTC1/SC29/WG11 MPEG96/M0962 Source: EPFL Status: Version 1.0 Title: OBJECT TRACKING BASED ON TEMPORAL AND SPATIAL INFORMATION
An automatic technique for detecting and tracking the objects forming the scene is presented. No a priori information nor constraints about the scene content are required. In particular, no assumption is made about a static background or a predefined number of objects in the scene. Any class of sequences can thus be analyzed by the proposed technique. The object detection procedure relies on a ...
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