Video tracking

Construction safety monitoring is vital in enhancing site safety, such as tracking entering hazardous areas and the correlation between workers and other hazard entities. Therein, computer vision-based image/video processing, one of the emerging technologies, has been actively used to automatically identify and recognize unsafe conditions.

10p vialicene 02-07-2024 1 0   Download

Ebook PC toys - 14 Cool projects for home office and entertainment: Part 1 includes contents: Chapter 1: create your own tivo-like digital video recorder, chapter 2: build a jukebox for your home stereo, chapter 3: have hot, fresh coffee whenever you get up, chapter 4: build a telescope tracking station, chapter 5: monitor your workout, chapter 6: home surveillance with internet remote access, chapter 7: monitor your refrigerator and freezer, chapter 8: monitor your fish tank.

160p haojiubujain010 14-12-2023 9 2   Download

Recently, many applications in video surveillance, intelligent traffic system and social security management require information of vehicle trajectories in an urban area. Conventional methods tried to track moving vehicles by using either appearance matching or spatial and temporal information to estimate vehicle trajectory.

10p vidoctorstrange 06-05-2023 10 2   Download

In this paper, we propose a model to recognize the patient's hand action in rehabilitation exercises, which is a combination of the results of a deep learning network recognizing actions on Video RGB, R(2+1)D, and a main interactive object in the exercise detection algorithm.

15p vidumbledore 19-01-2023 14 4   Download

This paper proposes a vision-based analysis in calculating excavator productivity using image processing applications and coding language to automatically determine the excavator productivity and bring results on the basis of analysing big data collected from validated construction sites.

14p viaudi 29-08-2022 3 2   Download

Bài viết trình bày kết quả xây dựng và thực thi hệ thống nhận dạng – giám sát phương tiện giao thông theo thời gian thực sử dụng thuật toán YOLOv4-tiny kết hợp Multiple Tracking và phát trực tuyến video trên giao thức RTMP. Hệ thống tận dụng những ưu điểm và nhược điểm của thuật toán YOLO và Multiple Tracking, để nhận dạng và định danh phương tiện giao thông.

6p vistephenhawking 26-04-2022 28 4   Download

Body movement-controlled video games involving physical motion and visual attention may have the potential to train both abilities simultaneously. Our purpose was to determine the associations between performance in these games and visual attention, balance and mobility in a group of older adults. The long-term goal is to identify the optimal type of interactive games with regards to training potential.

13p vinobelprisen 26-03-2022 13 5   Download

We present the method of the HCMUS team pariticipating in Multimodal Person Discovery in Broadcast TV Task at the MediaEval Challenge 2016. There are two main tasks in our method. First we identify a list of potential characters of interest from all video clips. Each potential character is defined as a pair of face track, a sequence of face patches, and a name. We use OCR results and face detection to find potential characters.

4p viclerkmaxwel 16-02-2022 21 5   Download

The main aim of this work is to detect and track human activity, and classify actions for two publicly available video databases. In this work, a novel approach of feature extraction from video sequence by combining Scale Invariant Feature Transform and optical flow computation are used where shape, gradient and orientation features are also incorporated for robust feature formulation.

27p spiritedaway36 28-11-2021 10 1   Download

Deep Learning is known as the most powerful technique for handling almost Computer Vision problems. Many state-ofthe-art methods in face recognition focus on recognition from still images. In this paper, we propose a method of combining face tracking and face representation for still images to increase high accuracy rate in the setting of camera surveillance.

8p vijihyo2711 25-09-2021 11 2   Download

This paper resolves the problem of detecting small drones in surveillance videos using deep learning algorithms. Single Shot Detector (SSD) object detection algorithm and MobileNet-v2 architecture as the backbone were used for our experiments. The pretrained model was re-trained on custom drone synthetic dataset by using transfer learning’s fine-tune technique. The results of detecting drone in our experiments were around 90.8%.

10p cothumenhmong12 08-07-2021 33 1   Download

This paper presents an effective method for the detection of multiple moving objects from a video sequence captured by a moving surveillance camera. Moving object detection from a moving camera is difficult since camera motion and object motion are mixed. In the proposed method, we created a panoramic picture from a moving camera. After that, with each frame captured from this camera, we used the template matching method to found its place in the panoramic picture. Finally, using the image differencing method, we found out moving objects.

7p gaocaolon10 03-03-2021 28 2   Download

Drosophila larvae have been used as a model to study to genetic and cellular circuitries modulating behaviors. One of the challenges in behavioral study is the quantification of complex phenotypes such as locomotive behaviors.

12p viwyoming2711 16-12-2020 8 0   Download

Fish tracking is an important step for video based analysis of fish behavior. Due to severe body deformation and mutual occlusion of multiple swimming fish, accurate and robust fish tracking from video image sequence is a highly challenging problem.

11p vioklahoma2711 19-11-2020 14 3   Download

In this paper, we focus on a fully automatic person ReID system which contains only three first steps of the full video analysis system that are person detection, tracking and re-identification. The purpose of human detection is to create a bounding box contain an object in a given image while tracking methods aim at connecting the detected bounding boxes of the same person. Finally, person ReID is to associate multiple images of the same person in different camera views.

13p kequaidan8 02-11-2020 15 2   Download

Siamese network-based trackers have achieved excellent performance on visual object tracking. Some Siamese network experiments on long-terms visual tracking benchmarks achieve state-of-the-art performance, confirming its effectiveness and efficiency. In this work, we study state-of-the-art Siamese networks, then, propose a model based on Siamese architecture to tracking UAV from the Anti-UAV Challenge dataset include 100 videos infrared.

8p viv2711 27-10-2020 7 1   Download

Motility in bacteria forms the basis for taxis and is in some pathogenic bacteria important for virulence. Video tracking of motile bacteria allows the monitoring of bacterial swimming behaviour and taxis on the level of individual cells, which is a prerequisite to study the underlying molecular mechanisms.

8p vicolorado2711 22-10-2020 9 0   Download

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given.

11p thayboitinhyeu 02-03-2020 20 0   Download

Paralympic Cross-Country sit-skiers use adaptive equipment, with a resulting gesture similar to double poling techniques adopted by able-bodied skiers. Despite the similarity, a specific attention on the gesture performed by sit-skiers is needed. The paper focuses on the sledge kinematic and on inertia effect of upper body motion which is translated in a propulsive effect in the early stage of the pushing cycle. In particular a group of 7 elite sit skiers of class LW10 were recorded with a video-based markerless motion capture technique during 1 km sprint Paralympic race.

8p kequaidan1 16-11-2019 15 1   Download

Inspired by the idea of AVCSR, which has combined visual features with audio features to increase the accuracy in noisy environments, we use AdaBoost algorithm and Kalman filter for the face and lip detectors. Our result shows that the system can detect and track mouth motion in real time. It is a critical point that encourages more researches in the visual tracking and voice recognition fields.

7p minhxaminhyeu3 25-06-2019 27 0   Download