Towards the problem of real time detecting and tracking in infrared image, a practical system is built based on midwave stareing focal plane infrared sensor, HEPC9 (for double-DSP management), double-DSP C6201 and double-FPGA.
Adaptive Coherent Integrator (ACT) is obviously superior to Adaptive Line Enhener (ALE)both in detecting and tracking applications. However ,the steady-state misadjustment of ACI is largr than that of ALE.
This paper bases on the current moving target detecting, classifying and tracking technology, takes the embedded system as typical application scene to investigate the detecting and tracking technology for fast changing environment;
The thesis is focused on the study of the system of moving object detection and tracking based on DSP, including the design of the hardware platform and the algorithm software module for moving object detecting and tracking.
Based on the mechanism of moving target description in the imaging plane and the effect of the temperature difference between the target and background on signalic-noise ratio and detecting distance, different interferences in the background around the target were studied to counter the target detecting and tracking.
According to the characteristics for the shipboard radar detecting and tracking flying targets in low altitude or super-low altitude, the following models for detecting targets, emission signal , multi-path effects and sea clutter are set up. Then a simulation analysis is given on the error of pitching angle by multi-path effects and radar echo.
A basic problem in autonomous navigation and motion estimation is automatically detecting and tracking features in consecutive frames, a challenging problem when camera motion is significant.
A high resolution Nd-YAG pulsed Laser Radar "LIDAR" system is proposed for detecting and tracking Airborne cooperative retro-reflector carrying targets against noise, clutter and back-scatter sources.
Laser Radar range optimization for detecting and tracking Airborne cooperative targets
This paper presents an efficient method to integrate spatial and temporal constraints for detecting and tracking obstacles in urban environments.
This paper proposes a method for detecting and tracking the motion of a large number of dynamic objects in crowded environments, such as concourses in railway stations or airports, shopping malls, or convention centers.