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This paper presents a pedestrian detection system with enhanced object segmentation procedure working on a far infrared (FIR) video. To make the object detection more accurate on the FIR images, we propose an enhanced segmentation procedure with two thresholds and the region enlargement. This combination allowed a significant reduction of the region of interests (ROIs) for further processing. Experiments...
This paper presents a modified multi-branch classifier of pedestrians from far infrared (FIR) night and day images. The solution is accurate, fast, and especially best suited for all realtime applications where pedestrians may appear in many distances to the camera, like in cars and CCTV. Two proposed training methods of the classifier, namely full-scale and partial-scale training were deeply tested...
The paper takes the automatic detection of pedestrians from a vehicle into consideration using an automotive night vision system. Accidents involving pedestrians at night cause a significant part of deaths in the roads. Therefore, the authors present a design of the automotive night vision system that combines the passive solutions, i.e. those using thermal vision, and active, which use the near infrared...
This paper presents several methods for application in CCTV systems in order to support operators' duties. These methods are based on video processing only. In result, the attention of the operator can be attracted using an alarm signal. Additional information about objects can be delivered or the automatic control of PTZ cameras applied. Among the considered methods are: people detection, silhouette...
This paper presents an experimental system for real time tracking of moving objects. It is equipped with the analog video camera CC-5299MAFS/M mounted on a controlled turntable. A standard PC computer operating with Linux system is used. The prepared software analyzes the captured video and decides how to control the turntable and the camera. Manual system control is also possible. The implemented...
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