Moving Object Detection in Video Streams Received from a Moving Camera

Through on-the-fly environment 3D reconstruction, based on visual clues, we propose an integrated method to detect and localise static and moving obstacles, whose position,

One of the most common techniques used to detect moving objects in a video sequence captured by a moving camera is background subtraction based on background modelling..

Based on a known background estimation and a fixed camera, the algorithm is able to detect moving objects and locates them at video rate, moreover this method is used for

This paper proposes an effective approach to detect and segment moving objects from two time-consecutive stereo frames, which leverages the uncer- tainties in camera motion

Note that errors may come from partial detection (e.g., legs or arms of pedestri- ans) or redundancies (such as shadows). Object verification and region growing may be used to

In a second part we see the final output (set of all segmented objects) of our algorithm as a motion detection mask in order to compare our approach with other methods mainly based

The use of spatial, dynamic and photometric features allows the extraction of moving foreground objects even in presence of illumination changes and fast variations in the

In this section, we discuss the implementation details of the proposed algorithm depicted in figure 2.The algorithm consists of three major steps : Selection of objects