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This work presents a video-based sequence synchronization algorithm to be used in real-time video surveillance applications. The signals are aligned based on an online dynamic time warping approach that uses only video content information. The algorithm was tested in the alignment of reference and target videos acquired in a cluttered industrial environment with a moving camera. During each recording,...
In this study, a real-time system design, which can track (RGB) targets in dynamic environments with an active camera, was implemented. Object tracking applications are quite important for military, surveillance system and operational robot applications and getting more important day by day. This design allows us tracking an object using fewer cameras. The design consists of three main parts that...
This paper proposes a method for detecting moving objects on an underwater video. Video obtained using an underwater camera to capture the environmental conditions of the area. This research is the initial stage of the underwater surveillance system. Underwater surveillance system enables objects passing can be recognized shapes, types, and its behavior. The detection method used in this research...
Faster R-CNN has established itself as the de-facto best object detector but it remains strongly limited in two aspects: (i) it is sensitive to background clutter and its classification performance decreases when it is confronted with more noisy proposals; (ii) it suffers when the objects vary largely in scale and specifically for the small objects. We address both issues with our geometric-proposals...
Moving target detection and tracking, recognition, behaviours analysis are the key issues in the intelligent visual surveillance system (IVSS). The challenge is how to process the real-time video stream in an effective way in case that we could find the interested objects for analysis. However, the traditional video surveillance technology often does not meet the needs of real-time key frame recognition...
Moving objects detection or change detection in video sequences, is a fundamental task in video surveillance applications. Although, existing methods perform well on videos filmed by stationary cameras, these methods fail dramatically in videos filmed by non-stationary cameras. In particular, in very low frame rate and sudden illumination change scenarios, like Wide-Area Motion Imagery (WAMI). In...
Video summarization is the process to extract informative events of a video and represent in the condensed form. The paper proposes a new method for extracting important contents of a video for summarization using geometric primitives, such as line segments, angles, and conic parts. The primitives have the capabilities to represent complex shapes and structures of objects in a video frame. Therefore,...
Human detection is an essential task in so many applications, especially surveillance systems. Recently, ConvNets (Convolutional Neural Networks)-based YOLO model is a successful method applied for object (including human) detection. It is one of the fastest way to detect directly objects from the input image. However, compared to the ConvNets-based state-of-the-art object detection methods, YOLO...
The analytic video is a very challenging area of research in computer vision. Ensure a high level of security in a public space monitored by a surveillance camera is a difficult task in recent years. Understanding people behaviors in real time allows the surveillance systems to analyze unusual events through the video frames. In this paper, we propose a new approach for detecting suspicious behavior...
To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining road traffic density for traffic management. To address the needs of autonomous traffic data extraction and video analysis, a vast body of research exists. However, these schemes are...
In the recent years, object detection and tracking has become an integral part of various applications such as Surveillance system, Vehicle navigation, and autonomous robot navigation. Especially in the field of surveillance system it has gained greater significance than ever before due to the recent terror activities taking place all over the world. Many efforts have been made to make the system...
The objective of paper is to review the video segmentation and moving object detection methods, organize them into different categories. Object detection and tracking is a stimulating problem. The object identification can identify a moving object and discard unwanted candidate area which does not include an interesting object. The techniques used for the general video segmentation for traffic surveillance...
In this paper, we present a novel 3D stabilization method for aerial imagery. While most existing aerial surveillance applications rely on 2D stabilization, which generates parallax errors in urban scenes, we aim to compensate camera motion perfectly as if the scene had been captured by a static camera. It is not only a better way to visualize events but also a more reliable inputs for higher level...
High definition (HD) camera is widely used in surveillance systems. An HD camera with optical zoom is useful for monitoring a large area. However, it is inconvenient for a user to manually control the optical zoom for a long time. To exploit the functionality and extend the application domains of a HD camera, the zooming should be controlled automatically. An automatic zooming mechanism is proposed...
Detection of a moving object in a non-stationary scene is a very critical and challenging step for visual surveillance applications. Background subtraction (BS) is a widely used algorithm for moving object detection in the presence of static cameras. Its performance purely depends on the choice of features used for background modeling. The traditional BS assumes that the background is static or near-static...
This paper presents a novel solution for a typical small-scaled quad-rotor UAV to autonomously search for and land on a pre-designed marker placed on a rooftop and to observe a digit panel on the opposite building. The UAV is equipped with a downward-facing monocular camera for landing target detection and pose estimation, as well as a front-facing camera for digit panel observation and surveillance...
This paper presents a single fisheye lens camera-based visual surveillance system for monitoring a wide area. A fisheye lens has a wider field-of-view (FOV) than normal lenses at the cost of a barrel distortion in the acquired image. After correcting the barrel distortion, the proposed algorithm detects objects, and performs tracking using a histogram-based Gaussian mixture model (GMM). Experimental...
Activities developed under hazardous conditions, such as mining, require an active investment from the industry to avoid serious injuries and even loss of lives. One of the safety measures taken to address this problem is to implement a video surveillance system able to track vehicles and workers to enforce safety protocols preventing dangerous events that could lead to accidents. In this paper, we...
Currently, how to automatically realize acquisition, refining and fast retrieval of the target information in surveillance video has become an urgent demand in public security visual surveillance field. This paper proposes a new gun-dome camera cooperative system which solves the above problem partly. The system adopts master-slave static panorama-variable view dual-camera cooperative video-monitoring...
This paper presents a robust background generation method using a modified mixture of Gaussian model. Traditional background generation methods become unstable when the camera viewpoint suddenly changes. To solve this problem, the proposed method robustly extracts the background by mixing multiple Gaussian models.
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