In the past few years, commercial use of drones has exploded, since they are a safe and cost‐effective solution for many kinds problems. However, this fact also opens door malicious use. This work presents novel system able to detect recognise from other targets, allowing police security agencies deal with new aerial thread. The proposed only uses persistent range–Doppler radar, avoiding restrictions optical sensors, usually required recognition part. processing is based on constant false...

Missions involving Unmanned Aerial Vehicle usually consist of reaching a set regions, performing some actions in each region, and returning to determined depot after all the regions have been successfully visited or before fuel/battery is totally consumed. Hence, planning route becomes an important task for many applications, especially if team Vehicles considered. From this team, coordination cooperation are expected optimize results mission. In paper, system managing multiple cooperative...

Automatic visual object counting and video surveillance have important applications for home business environments, such as security management of access points. However, in order to obtain a satisfactory performance these technologies need professional expensive hardware, complex installations setups, the supervision qualified workers. In this paper, an efficient detection tracking framework is proposed tasks surveillance, which meets requirements consumer electronics: off-the-shelf...

In this work, a new inverse perspective mapping (IPM) technique is proposed based on robust estimation of the vanishing point, which provide bird-view images road, so that facilitating tasks road modeling and vehicle detection tracking. This approach has been design to cope with instability cameras mounted moving suffer. The point relies novel efficient feature extraction strategy, segmentates lane markings by combining histogram-based segmentation temporal frequency filtering. Then, each...

Road modeling is the first step towards environment perception within driver assistance video-based systems. Typically, lane allows applications such as departure warning or invasion by other vehicles. In this paper, a new monocular image processing strategy that achieves robust multiple model proposed. The identification of lanes done firstly detecting own and estimating its geometry under perspective distortion. analysis curve fitting to hypothesize adjacent assuming some priori knowledge...

Vehicle monitoring using camera networks is an important task for traffic applications. Moreover, it becomes critical in nighttime, when the probability of accident considerably increases as visibility conditions worsen. Typical approaches are mostly based on assumption that regions delimiting vehicle lights well defined, so they segmented and then associated to entities. However, this fails images acquired by existing networks, where revealed flashes other complex light patterns, occupying...

In previous years, an interest has developed in the coded representations of video signals allowing independent manipulation semantically elements (objects). Along these lines, ISO standard MPEG-4 enhances traditional concept sequence to convert it into a synchronized set visual objects organized flexible way. The real-time generation bitstream according this new paradigm, and suitable for its transmission through either fixed- or variable-rate channels, results challenging bit allocation...

Recently, broadcasted 3D video content has reached households with the first generation of 3DTV. However, few studies have been done to analyze Quality Experience (QoE) perceived by end-users in this scenario. This paper impact transmission errors 3DTV, considering that is delivered side-by-side format over a conventional packet-based network. For purpose, novel evaluation methodology based on standard single stimulus methods and aim keeping as close possible home environment viewing...

Visual hand gesture recognition systems are promising technologies for Human Computer Interaction, as they allow a more immersive and intuitive interaction. Most of these based on the analysis skeleton information, which is in turn inferred from color, depth, or near-infrared imagery. However, robust extraction information images only possible subset poses, restricts range gestures that can be recognized. In this paper, real-time system device presented, directly analyzes infrared imagery to...

This paper presents a robust method for real-time vehicle detection and tracking in dynamic traffic environments. The proposed strategy aims to find trade-off between the robustness shown by time-uncorrelated techniques speed-up obtained with algorithms. It combines both advantages continuously evaluating quality of results along time triggering new detections restart process when falls behind certain requirement. Robustness is also ensured within algorithm an outlier rejection stage use...

A novel biometric face recognition algorithm using depth cameras is proposed. The key contribution the design of a and highly discriminative image descriptor called bag dense derivative patterns (Bag-D3P). This composed four different stages that fully exploit characteristics information: 1) spatial derivatives to encode 3-D local structure; 2) face-adaptive quantization previous derivatives; 3) multibag words creates compact vector description from quantized 4) block division add global...

Automatic hand gesture recognition in video sequences has widespread applications, ranging from home automation to sign language interpretation and clinical operations. The primary challenge lies achieving real-time while managing temporal dependencies that can impact performance. Existing methods employ 3D convolutional or Transformer-based architectures with skeleton estimation, but both have limitations. To address these challenges, a hybrid approach combines Convolutional Neural Networks...

A depth-based face recognition algorithm specially adapted to high range resolution data acquired by the new Microsoft Kinect 2 sensor is presented. novel descriptor called Depth Local Quantized Pattern has been designed make use of extended sensor. This a substantial modification popular Binary algorithm. One main contributions introduction quantification step, increasing its capacity distinguish different depth patterns. The proposed used train and test Support Vector Machine classifier,...

A video-aware unequal loss protection (ULP) system for protecting RTP video streaming in bursty packet networks is proposed. Considering the relevance of frame, state channel, and bitrate constraints bitstream, our algorithm selects real time most suitable frames to be protected through forward error (FEC) techniques. It benefits from a wise encapsulation that allows working at frame level without requiring any further process than parsing headers. This makes straightforward fast, perfectly...

New forms of natural interactions between human operators and UAVs (Unmanned Aerial Vehicle) are demanded by the military industry to achieve a better balance UAV control burden operator. In this work, machine interface (HMI) based on novel gesture recognition system using depth imagery is proposed for UAVs. Hand promising approach HMIs because it more intuitive, natural, non-intrusive than other alternatives complex controllers. The Support Vector Machine (SVM) classifier that uses...

Low-cost systems that can obtain a high-quality foreground segmentation almostindependently of the existing illumination conditions for indoor environments are verydesirable, especially security and surveillance applications. In this paper, novelforeground algorithm uses only Kinect depth sensor is proposedto satisfy aforementioned system characteristics. This achieved by combininga mixture Gaussians-based background subtraction with new Bayesiannetwork robustly predicts...

Human-computer Interaction systems based on hand-gesture recognition are nowadays of great interest to establish a natural communication between humans and machines. However, the visual gestures other human poses remains challenging problem. In this paper, original volumetric spatiograms local binary patterns descriptor has been extended efficiently robustly encode spatial temporal information hand gestures. This enhancement mitigates dimensionality problems previous approach, considers more...

Super MultiView (SMV) video display is the most promising technology for 3-D glasses-free visualization. Although only a few prototypes are currently available, research on technical and perceptual factors related to this approach crucial. This paper presents novel model capture subjective perception of SMV, called Perceptual Disparity Model (MVPDM), by means parametrization relation between: 1) scene settings, 2) speed comfort smoothness in viewpoint transition. The MVPDM based parameter:...