Local Attention Sequence Model for Video Object Detection

Model-Based Object Segmentation in Video Sequence

This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally, for modification of the mask, we...

Algorithm Research on Moving Object Detection of Surveillance Video Sequence

In video surveillance, there are many interference factors such as target changes, complex scenes, and target deformation in the moving object tracking. In order to resolve this issue, based on the comparative analysis of several common moving object detection methods, a moving object detection and recognition algorithm combined frame difference with background subtraction is presented in this ...

Multi-Model Estimation Based Moving Object Detection for Aerial Video

With the wide development of UAV (Unmanned Aerial Vehicle) technology, moving target detection for aerial video has become a popular research topic in the computer field. Most of the existing methods are under the registration-detection framework and can only deal with simple background scenes. They tend to go wrong in the complex multi background scenarios, such as viaducts, buildings and tree...

Attention-based Object Detection

An Adaptive Model to extract the object from Video Sequence

The object detection in video is one of the critical task. In this paper, a hybrid model is presented to perform the segmentation over the video. The work includes the detection of video frame that is followed by series of image processing operations to detect the object. In this work, a watershed improved morphological approach is defined to perform the segmentation. This segmentation process ...