نتایج جستجو برای: object detection from video
تعداد نتایج: 6159651 فیلتر نتایج به سال:
-The researchers has attracted on object tracking research. There are many tracking algorithm, The purpose of object tracking algorithm is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion. Preceding steps for tracking an object in sequence of images are the object detection and object classification. To check existence and to locate t...
Object tracking is a process of segmenting a region of interest from a video scene and keeping track of its motion, position and occlusion. The tracking is performed by monitoring objects’ spatial and temporal changes during a video sequence, including its presence, position, size, shape, etc. Object tracking is used in several applications such as video surveillance, robot vision, traffic moni...
Motion estimation plays a key role in many video applications, such as frame-rate video conversion, video retrieval, video surveillance, and video compression. The key issue in these applications is to define appropriate representations that can efficiently support motion estimation with the required accuracy. In this paper, a low-complexity object motion estimation technique is proposed that i...
Research in abandoned object detection is a need now days due to increase in attack by terrorists or anti social elements at public places. The traditional way to observe the places or to track the places is the CCTV cameras. In the current research of detecting abandoned object, the results are not optimal and need more work in this area. This paper discusses the proposed system for detecting ...
• We designed a novel architecture for video object detection that capitalizes on temporal information. fusion module to merge feature maps coming from several temporally close frames. proposed an improvement the SpotNet attention module. trained and evaluated our with three different base detectors two traffic surveillance datasets. demonstrated consistent significant of model over baselines. ...
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