Automatic Camera Selection and Fusion for Outdoor Surveillance under Changing Weather Conditions
نویسندگان
چکیده
In this paper, an outdoor multi-camera video surveillance system operating under changing weather conditions is presented. A new confidence measure, Appearance Ratio (AR), is defined to automatically evaluate the sensors’ performance for each time instant. By comparing their ARs, the system can select the most appropriate cameras to perform specific tasks. When redundant measurements are available for a target, the AR measures are used to perform a weighted fusion of them. Experimental results are presented on outdoor scenes under different weather conditions.
منابع مشابه
A Review on Image Restoring Techniques of Bad Weather Images
This paper presents a review on the different techniques of restoring bad weather images. Due to bad weather like fog, rain, haze and snow the vision gets degraded. The techniques used in many applications such as outdoor surveillance, automatic monitoring system, outdoor recognition system, intelligent transportation system and object detection. The paper objective is to explore the techniques...
متن کاملQuadrature Amplitude Modulation All Optical Orthogonal Frequency Division Multiplexing-dense Wavelength Division Multiplexing-optical Wireless Communication System under Different Weather Conditions
This paper proposes an analytical model for evaluating the performance of dense wavelength division multiplexing (DWDM) for all optical orthogonal frequency division multiplexing (AO-OFDM) optical wireless channel. The investigated performance for proposed system is evaluated for the parameters bit error rate (BER) and Q factor .The constellation diagrams, and bit error rate (BER) of the recei...
متن کاملRobust Small-Object Detection for Outdoor Wide-Area Surveillance
In this paper, we present a robust small-object detection method, which we call “Frequency-Pattern-Enhanced Subtraction”, for wide-area surveillance such as that of harbors, rivers, and plant premises. For achieving robust detection under changes in environmental conditions, such as illuminance level, weather, and camera vibration, our method distinguishes target objects from background and noi...
متن کاملRobust Data Fusion of Multimodal Sensory Information for Mobile Robots
Urban Search and Rescue missions for mobile robots require reliable state estimation systems resilient to realistic conditions given by the dynamically changing environment. We design and evaluate a novel data fusion system for localization of a mobile skid-steer robot intended for USAR missions. We exploit a rich sensor suite including both proprioceptive (inertial measurement unit and tracks ...
متن کاملThe SFU Mountain Dataset: Semi-Structured Woodland Trails Under Changing Environmental Conditions
We present a novel long-term dataset of semistructured woodland terrain under varying lighting and weather conditions and with changing vegetation, infrastructure, and pedestrian traffic. This dataset is intended to aid the development of field robotics algorithms for long-term deployment in challenging outdoor environments. It includes more than 8 hours of trail navigation, with more available...
متن کامل