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In this paper, we proposed a new multi-layer discriminative framework for vacant parking space detection. From bottom to top, the framework consists of an image feature extraction layer, a patch classification layer, a weighted combination layer, and a status inference layer. In the feature extraction layer, the framework extracts lighting-invariant features to relieve the effects from lighting and...
Falls are the major reason of injury and accidental death for older people. It is important to recognize falls early for assistance and treatment. In this paper, a Support Vector Machine (SVM) algorithm for recognition falls and other activities based on skeletal data is proposed. Skeletal data, which will be extracted from capturing human body using a Kinect camera system, are obtained on three persons...
This paper describes a vision-based method of guiding autonomous vehicles within crop rows in agricultural fields where the crop rows are challenging to detect or their appearance is not known a-priori. The location of the crop rows is estimated with an SVM regression algorithm using colour, texture and 3D structure descriptors from a forward facing stereo camera pair. Our system rapidly learns a...
We created two experimental situations to elicit two affective states: frustration and delight. In the first experiment, participants were asked to recall situations while expressing either frustration or delight. The second experiment tried to elicit these states naturally with a frustrating experience and a delightful video. There were two significant differences between the acted and natural occurrences...
This paper addresses the challenging domain of vehicle classification from pole-mounted roadway cameras, specifically from side-profile views. A new public vehicle dataset is made available consisting of over 10000 side profile images (86 make/model and 9 sub-type classes). 5 state-of-the-art classifiers are applied to the dataset, with the best achieving high classification rates of 98.7% for sub-type...
This paper addresses the problem of temporal pruning of noisy parts to improve event recognition performance. We present a new technique based on the temporal partitioning of the processed videos according to their motion patterns and the subsequent analysis of the yielded time segments. For each event type, we automatically learn the types of segments that are discriminative and those that perturb...
Recognizing the face of target individuals in a watch-list is among the most challenging applications in video surveillance, especially when enrollment is based on one reference still facial image. Besides the limited representativeness of facial models used for matching, the appearance of faces captured in videos varies due to changes in illumination, pose, scales, etc., and to camera inter-operability...
In order to improve the performance of image based visual servoing (IBVS) system, a novel moments based method with good decoupling and linearizing properties is proposed. Two virtual moments are designed to decouple the rotational motions around x-axis and y-axis of camera frame. Support vector machine regression method is proposed to learn the mapping model from four moment invariants to the virtual...
The detection of early manmade fire carries profound meaning in warning systems to prevent fire-related terrorist attacks. Despite a large number of work on fire detection in the computer vision literature, there is no specific method for early stage manmade fire detection, our best knowledge. Compared to traditional fire detection, there is less information on early stage man-made fire for detection,...
Monocular visual odometry is an active research topic for mobile robot navigation due to its availability and simpleness. However, it inherently suffers from scale ambiguity inherently, so that the precesion of odometry becomes poor. In this paper, we propose a new method to resolve scale ambiguity for monocular visual odometry based on ground area extraction and a modified adaptive kalman-filter...
Number Plate Recognition technique is widely used in identifying vehicle identity across the world where a standard plate size and font are maintained which makes recognition easy. For implementing number plate recognition specifically in India a lot number of issue comes up like hundreds of different forms of fonts being used, size of plate not maintained, five different color number plate, double...
This paper investigates the use of the Oriented Fast, Rotated Brief (ORB) method to automatically detect the most significant broadcast view associated with cricket broadcasts: the Bowler Run-up Sequence (BRS) for cricket highlight generation. This method is computationally less expensive than other methods proposed for BRS detection. It is shown here that only a single frame is required for training...
Pedestrian detection is one of the most popular computer vision challenges in the automotive, security and domotics industries, with several new approaches and benchmarks proposed every year. All of them typically consider the pedestrians in a standing pose, but this assumption is not always applicable. It is the case of embedded camera systems used for crowd monitoring or in driving assistance systems...
Vision-based blind spot monitoring algorithm which uses the rear-view dashboard camera has been recently proposed. In order to determine whether the detected vehicle is approaching or not, it needs a motion estimation module. In this paper, we examine the transition of vehicle's pose and employ a multi-class HOG and SVM. The relative moving direction can be estimated without use of motion estimation...
We proposed a compact color descriptor specialized in expressing clothing for person re-identification across cameras. It expresses any type of clothing colors by combination of a set of unicolor clothing selected from a collection of various colored clothing widely and densely spread over clothing color space; which is called a wardrobe. Proper wardrobe can be collected through a clothing manufacture...
This paper presents an original approach for autonomous navigation based on RGB-D data and known 3D markers, where the basic concept is to detect and recognize the markers and then to use them for a straightforward pose estimation solution. The developed algorithms can allow a quadrotor to autonomously fly in (cooperative) GPS denied environments and/or when there is no natural or artificial illumination...
In recent years, ICT devices such as personal computer and video camera, tablet devices have been introduced actively in the field of ball sports. As one example, before the game is also carried out analysis of the opposing team using recorded video. In this paper, we consider the method to extract the desired scenes from the game video automatically for coaching support in the rugby sports. HOG and...
Using Unmanned Aerial Vehicles (UAVs) to deploy sensor networks promises an autonomous and useful method of installation in remote or hard to access locations. Some sensors, such as soil moisture sensors, must be physically installed in soft soil, yet UAVs cannot easily determine soil softness with remote sensors. In this paper, we use data from an onboard accelerometer measured during UAV landings...
Recently, pedestrian attributes like gender, age and clothing etc., have been used as soft biometric traits for recognizing people. Unlike existing methods that assume the independence of attributes during their prediction, we propose a multi-label convolutional neural network (MLCNN) to predict multiple attributes together in a unified framework. Firstly, a pedestrian image is roughly divided into...
In this paper, a method for recognizing pointing gestures without markers is proposed. The video-based system uses one camera, which observes the user in front of a screen and identifies the points pointed by him on this screen, his arm being in the fully extended position towards the screen. A GVF-snake was used in order to find the silhouette of the user. From the silhouette features like position...
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