Context. The probability of detecting the object by operator video surveillance system depends on a number parameters (geometric dimensions observation, distance to camera, monitor parameters, etc.).
 Objective. purpose article is develop an indicator effectiveness dynamic objects when evaluating functioning systems.
 Method. An detection systems proposed. proposed expressed in intere...

Video object detection is a fundamental research task for scene understanding. Compared with in images, videos has been less researched due to shortage of labelled video datasets. As frames clip are highly correlated, larger quantity labels needed have good data variation, which not always available as the much more expensive attain. Regarding above-mentioned problem, it easy train an image det...

Video saliency object detection is one of the classic research problems in computer vision, yet existing works rarely focus on impact input quality model performance. As optical flow a key for video models, its significantly affects Traditional models only calculate between two consecutive frames, ignoring motion state objects over period time, leading to low-quality and reduced performance mod...

Video object detection still faces several difficulties and challenges. For example, the imbalance of positive negative samples leads to low information processing efficiency, performance declines in abnormal situations video. This paper examines video based on local attention address such We propose a sequence model optimized parameter calculation ConvGRU. It could process spatial temporal vid...

Object aware video rate transcoding can significantly improve the perceptual quality of relatively low bit-rate video. However, precise object detection in arbitrary video scenes is computationally challenging. This paper presents an interesting experimentation with a live eyegaze tracker which suggests that object detection, particularly for perceptual encoding, may not have to be precise. Ind...