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Nowadays, many lectures and presentations are recorded and broadcasted for teleteaching applications. When no human camera crew is present, the most obvious choice is for static cameras. In order to enhance the viewing experience, more advanced systems automatically track and steer the camera towards the lecturer. In this paper we propose an even more advanced system that tracks the lecturer while...
We consider the problem of segmenting objects in weakly labeled video. A video is weakly labeled if it is associated with a tag (e.g. Youtube videos with tags) describing the main object present in the video. It is weakly labeled because the tag only indicates the presence/absence of the object, but does not give the detailed spatial/temporal location of the object in the video. Given a weakly labeled...
Features from Accelerated Segment Test (FAST) based on the circular mask segment test is recognized as a superior feature detector in terms of speed. The radius of the circular mask and the arc length of the segment are the two geometric parameters that affect the speed and the quality of the detector. Binary Robust Invariant Scalable Key points (BRISK) applied FAST directly across all the layers...
In this work, we propose a mechanism to segment groups of pedestrians using hybrid features for intelligent surveillance systems. The goal is to specify the number of people and locate the position and size of each individual in groups of people. Human detection and clustering techniques are combined to achieve the segmentation purpose. The histogram of oriented gradients and curvelet features are...
This paper presents a novel method to find corners that are well located and stable interest points in a given image. Our corners are defined as intersection points of non collinear straight image edges, which are very robust against various image transformations like image scaling, rotation, translation and also to viewpoint and illumination changes. Some light updates on the linking edge step that...
We present a hover stabilization system for a quad-rotor MAV. The stabilizer uses a downward-facing CMOS camera and a pyramidal Lucas-Kanade optical flow algorithm running on an embedded computer-on-module to detect self-motion and stabilize laterally. Using this system, the vehicle is able to hover within 20 centimeters of its original location for over five minutes above a variety of surfaces, including...
This paper presents a novel pedestrian detection framework for efficient detection of both unoccluded and occluded pedestrians, thereby proposing an efficient technique for pedestrian detection in real-time environment. Our framework consists of two layers of detection, the first layer using full body detectors for accurate detection of unoccluded pedestrians and then a cascaded layer of part based...
Current Moving Object Detectors in airborne Region of Interest (ROI) coding systems for police surveillance applications used on-board of UAVs are often based on Global Motion Estimation (GME) techniques. Since in these scenarios the camera is moving, simple background removal approaches cannot be applied without a Global Motion Compensation (GMC). Common GMC algorithms assume the ground to be planar,...
Photo events in personal photo collection management are important because people take photos according to the specific events. Event is one of important cues to retrieve photos which are well remembered by people. However, event classification work needs some useful cues to annotate the photo events well. Our main contribution is to annotate photo events automatically using simple temporal cues such...
This paper focuses on long-term target tracking which need defining bounding-box in the first frame, and then performing target tracking automatically. Observing that neither tracking nor detection can solve long-term tracking task independently, we combine tracking with detection module into a single framework to perform robust tracking. An online learning step is integrated into the framework to...
In this paper, we investigate the ability of humans to recognize objects using different types of edges. Edges arise in images because of several different physical phenomena, such as shadow boundaries, changes in material albedo or reflectance, changes to surface normals, and occlusion boundaries. By constructing synthetic photo realistic scenes, we control which edges are visible in a rendered image...
In this paper we discuss the application of two-dimensional linear cellular automata (CA) rules with the help of fuzzy heuristic membership function to the problems of edge detection in image processing applications. We proposed an efficient and simple thresholding technique of edge detection based on fuzzy cellular automata transition rules optimized by Particle Swarm Optimization method (PSO). Finally,...
Conventional binary descriptor only uses limited spatial information from original image patch, such as BRIEF, which will result in limited discriminative power. We settle this problem through further excavating feature information and propose a binary descriptor encoding not only intensity comparison information but also intensity order information. Results based on experiments of performance evaluation...
Image segmentation is a fundamental task of image processing that consists in partitioning the image by grouping pixels into homogeneous regions. We propose a novel segmentation algorithm that consists in combining many runs of a simple and fast randomized segmentation algorithm. Our algorithm also yields a soft-edge closed contour detector. We describe the theoretical probabilistic framework and...
In most action recognition tasks, the target videos are of different temporal length and an action may be repeated several times in one video. As a result, encoding the distribution of video feature points that are far away from each other or are detected from different occurrences of the action into the video representation is inappropriate. It is better that sub video shots containing different...
Detecting anomalies in the Traffic Control Systems (TCS) could be very useful for the accident analysis, fault detection and other traffic-related topics. In this article we propose a general framework for the trajectory-based anomaly detection, which is fast and reliable. Experimental results show that the system could be used on a vast variety of camera types and configurations. We have used a semi-supervised...
The field of sparse representations has found applications in a variety of computer vision and scientific fields. Although sparse representations were initially considered for reconstruction, they have been successfully adapted for classification. In this paper, we demonstrate the application of sparse representations in matching salient keypoint descriptors for image alignment, registration, or stitching...
In this paper, we propose a method to align multiple images of the same category. Images with large variations are aligned via a smooth transition formed by some intermediate images. These intermediate images are found by shortest warping path algorithm on a directed complete graph. Moreover, the common regions in the images are discovered to further improve alignment performance. The experimental...
In this paper, we propose a novel texture descriptor, Structured Texton, to extract and characterize meaningful texture patterns in images. Structured Textons are constructed by grouping local extremum regions connected by the nesting relationship. To further improve the discriminative ability, high order texton words are generated from the Structured Textons, preserving both the appearance information...
In [1] Lienhart and Maydt introduced the calculation of rotated Haar-Wavelets by 45°. They showed that the extended set of possible wavelets improves the object recognition method of Viola et al. [2]. In this paper, we introduce a novel integral image structure which holds the information of a standard and a 45° rotated integral image. We use this image structure to improve a simple and efficient...
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