RESEARCH PAPERS

speed detection of moving vehicle




Online simultaneous localization and mapping with detection and tracking of moving objects: Theory and results from a ground vehicle in crowded urban areas
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 This is correct if we have no information whatsoever about the speed at which objects move.  4 Front Right Side Fig. 5: Pedestrian Detection.  Maps of SLAM not only can be used for detecting moving objects but also can be constraints to improve the tracking performance. 

An algorithm to estimate mean traffic speed using uncalibrated cameras
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 a one-dimensional (1-D) geometry, 3) frame differencing to isolate moving edges and  traffic scenes for a variety of purposes, including: queue detection, incident detection, vehicle classification, and  In this paper, we present a new algorithm to estimate speed using a sequence 

Pedestrian detection from a moving vehicle
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 By capturing the objects shape variability by means of a template hierarchy and using a combined coarse-to-fine approach in shape and pa- rameter space, this method achieves very large speed-ups compared to a brute-force  Pedestrian Detection from a Moving Vehicle 

Multi-cue pedestrian detection and tracking from a moving vehicle
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images (speed optimized) Pedestrian Detection and Tracking from a Moving Vehicle 47 

On-road vehicle detection using optical sensors: A review
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 as low totypes and solutions, based on rather different approaches spatial resolution, and slow scanning speed.  can be used to track more effectively cars entering a curve or moving from one  very important in a number of re- lated applications, such as lane detection, traffic sign 

Real-time multiple vehicle detection and tracking from a moving vehicle
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 Other approaches for recognizing and/or tracking cars from a moving camera are, for example, given in [1,27,29, 37,38,42–45,49,50,58,61] and for road detection and fol- lowing in [14,17,22,26,31,34  A collection of articles on vision-based vehicle guidance can be found in [46]. 

Probabilistic template based pedestrian detection in infrared videos
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A coarse to fme approach is used to speed up the pro- cess.  Local maxima are found on each and identified as pedes- trians. Some results of pedestrian detection can be seen in Fig.  The videos were captured in Japan using an infrared camera mounted on a moving car. 

Real-time object detection for smart vehicles
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An indication of the efficiency of the method was the significant speed up obtained by com- paring the method to an equivalent brute  We also demonstrated that it allows to perform some challenging tasks in near real-time, involving object detection from a moving vehicle. 

Dynamic 3d scene analysis from a moving vehicle
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 In contrast, our approach mod- els object positions continuously while moving through a 3D world  Conversely, higher speed (or lower frame rate) reduces reconstruction quality, but this is compensated for  The images show the ef- fect on object detection when the vehicle hits a 

Pedestrian detection using stereo night vision
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 However, at a relatively high speed (for which our algorithm is targeted), the vehicle is unlikely to make sharp turns. Page 9. LIU AND FUJIMURA: PEDESTRIAN DETECTION USING STEREO NIGHT VISION 1665 • When the car is moving swiftly from one lane to another 

Detecting moving objects using a single camera on a mobile robot in an outdoor environment
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 efficiency, the search range was limited to a small constant distance (assuming a bounded robot speed).  A constant-velocity action model was assumed for moving object detection.  Once it takes off and hovers, planar movements become the main motion, and moving objects on 

Vehicle detection and tracking using acoustic and video sensors
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 Figure 5 shows a bird's eye-view of the monitored field, with the trajectory of a vehicle moving from upper  Figure 6 shows the vehicle detection and tracking using video  The performance improvement on target heading direction and the ratio of speed to target range is not obvious 

Real-time detection of moving objects from moving vehicles using dense stereo and optical flow
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 Figure 2: Typical opticalflow resuh; see lex1 for discus- sion. we can compute 320x240 flow fields (not including im- age decimation and rectification) at 6 Hz, the speed on  4. Moving Object Detection Under General Mo- tions 4.1. 

GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection
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 ABSTRACT This paper describes the Generic Obstacle and Lane Detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to  In addition, some assumptions can aid the detection algorithm and/or speed-up the 

Coupled object detection and tracking from static cameras and moving vehicles
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 LEIBE ET AL.: COUPLED OBJECT DETECTION AND TRACKING FROM STATIC CAMERAS AND MOVING VEHICLES 1685 Fig.  The images show the effect on object detection when the vehicle hits a speed bump (top) if using an unchanged ground plane estimate and 

Traffic parameter extraction using video-based vehicle tracking
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 We have simulated the proposed tracking algorithm to estimate the vehicle count and the average speed of moving vehicles.  The result is sum- marized in Table 2, where we note that the proposed


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