Human behavior has been always an important factor in social communication. The human activity and action recognition are all clues that facilitate the analysis of behavior. is challenge a variety application including human-computer interaction intelligent video surveillance to enhance security different domains. evaluation algorithm relies on proper extraction learning data. success deep led many imposing results several contexts include neural network. Here emergence Gated Recurrent...

The touchless interaction has received considerable attention in recent years with benefit of removing the burden physical contact. introduction novel acquisition devices, like leap motion controller, allows obtaining a very informative description hand pose and that can be exploited for accurate gesture recognition. In this work, we present an interactive application gestural control using medical visualization, focusing on satisfaction user as important component composition new specific...

The recognition of human activities is usually considered to be a simple procedure. Problems occur in complex scenes involving high speeds. Activity prediction using Artificial Intelligence (AI) by numerical analysis has attracted the attention several researchers. Human are an important challenge various fields. There many great applications this area, including smart homes, assistive robotics, human–computer interactions, and improvements protection areas such as security, transport,...

Since unmanned aerial vehicles (UAVs) provide real-time monitoring of vast areas, their rapid development has been crucial to the advancement surveillance applications. However, in face complex environments, present systems frequently suffer from an initial lack efficiency, scalability, and adaptability. In order detect track any security threats real time, this study aims create a unique AI-based framework that makes use CNNs Fast R-CNNs. It trains validates object identification models...

Aerial surveillance is considered a developing sphere. One of the reasons because YOLO-8 model can improve both detection accuracy and speed to great extent. The research used YOLO-8(You Only Look Once) detect vehicles humans through drone imagery in real time an application noted for its under varying environmental conditions know how effective it would be. Results shows performs better than existing methods with high level performance feature robust speed, approach aimed enhance processing...

The medical imagery is a transverse activity for all disciplines. Its remarkable development due to the large use of telecommunications and information technologies in domain. However, since telemedicine act that must answer stern rules, follow easiness offered by informatics sciences violate confidentiality authenticity data, community is, actually, state opposition facing computerization data. To resolve this problem, lot methods combining compression encryption have been developed...

Hyperspectral satellite imagery (HSI) is an advanced technology for object detection because it provides a large amount of information. Thus, the classification HSIs very complicated, so methods reducing spectral or spatial information generally degrade quality classification. In order to solve this problem and guarantee faster more efficient processing, we propose smart feature extraction (SFE) by convolutional neural network (2D‐CNN) method made up two parts. The first consists in...

Human machine interaction becomes one of the most research topics in multimedia processing, traditional techniques for communication are developed order to tackle technology advances and allow disable person communicate easily with machine, understand their activity using computer computing. In this paper we focused on human behavior analysis from video scene it is worth noticed that many information hidden behind gesture, sudden motion walking speed, works tried model then recognize through...

The remarkable development of the medical imagery is due to large use telecommunications and information technologies in domain. However, since telemedicine a act that must answer stern rules, follow easiness offered by informatics sciences violate confidentiality authenticity data. To resolve this problem, lot methods combining compression encryption have been developed literature secure transmission storage images. In paper, we propose new approach partial based on Discrete Wavelet...

A 3D mesh can be subjected to different types of operations, such as compression, watermarking etc. Such processes lead geometric distortions compared the original version. In this context, quantifying resultant modifications and evaluating perceptual quality degraded meshes become a critical issue. The is central in several applications preserve visual appearance these treatments. used metrics results have well correlated perception humans. Although there are objective metrics, they do not...

Hand gesture recognition has become one of the most interesting means contactless human-computer interaction. There is significant importance for commanding medical images during surgical procedures by mean touchless hand gestures reducing time surgery and risk contamination. In this work, we used Leap Motion Controller as an acquisition device, with different classification methods, to recognize 11 dedicated manipulating through a graphical user interface. This framework was trained tested...

We propose an efficient lossless compression scheme for still images based on arithmetic coding. The presents a novel adaptive coding that updates the probabilities of pixels only after detecting last occurrence each pixel and then removes redundancy from original image effectively. proposed approach has interestingly low computational complexity. In addition, unlike other statistical techniques, in is not solely dependent probability distribution but also block sorting. method compared to...

This paper presents a new method of lossless image compression. An is characterized by homogeneous parts. The bit planes, which are high weight sequences 0 and 1 successive encoded with RLE, whereas the other planes arithmetic coding (AC) (static or adaptive model). By combining an AC (adaptive static) degree adaptation compression efficiency achieved. proposed compared to both static model. Experimental results, based on set 12 gray-level images, demonstrate that scheme gives mean ratio...

The availability of images in different applications are augmented owing to the technological advancement. Hence, image compression has proved be a valuable technique as one solution. This paper gives review techniques. Based on this, we recommended some general guidelines choose best algorithm for medical image. In this method, ROI is encoded separately using ISOM with high priority and resolution back ground (BG) region which lower low version ISOM. Finally, two regions merged together get...

Hyperspectral image clustering is commonly applied for unsupervised classification. However, the results of traditional methods are not sufficient seeing nature as a data cube with high dimensionality. In addition, complex relations between spatial neighboring pixels considered in methods. this paper fuzzy c-means revisited and customized. The proposed approach aims at reduction dimensionality while preserving most relevant spectral features improvement result. integration feature can...

The ease and extensive use of digital imaging systems raise serious questions about integrity authenticity images particularly in medical applications. A image requires great content since any change the might affect diagnosis even if it is small amount. Fragile watermark could be best technique to provide efficient authentication tool for images, this paper we present different methods developed watermarking used order verify We will after that our proposed method validated embedding...