Titlebook: Human Recognition at a Distance in Video; Bir Bhanu,Ju Han Book 2010 Springer-Verlag London Limited 2010 Biometrics.Camera Networks.Face R

富饒

Gait Representations in VideoIn this chapter, we first present a spatio-temporal gait representation, called . (.), to characterize human walking properties. Next, a general GEI-based framework is developed to deal with human motion analysis under different situations. The applications of this general framework will be discussed in the next chapter.

時(shí)間等

Fusion of Color/Infrared Video for Human Detectionproach achieves good results for image registration and human silhouette extraction. Experimental results also show a comparison of various sensor fusion strategies and demonstrate the improvement in performance over non-fused cases for human silhouette extraction.

GLEAN

按時(shí)間順序

Model-Free Gait-Based Human Recognition in?Videoouette distortion. Features learned from real templates characterize human walking properties provided in training sequences, and features learned from synthetic templates predict gait properties under other conditions. A feature fusion strategy is therefore applied at the decision level to improve recognition performance.

Middle-Ear

Conclusions and Future Workant problems are addressed in this book. A?summary of key contributions in gait-based human recognition, video-based face recognition and fusion of gait and face for individual recognition is given in this chapter.

Magnitude

Discrimination Analysis for Model-Based Gait Recognitionut also obtain the upper bound on PCR with regard to different human silhouette resolution. In addition, the maximum number of people in a database is obtained given the allowable error rate. This is extremely important for gait recognition in large databases.

犬儒主義者

水土

Culmination

Asparagus

Model-Free Gait-Based Human Recognition in?Video associated with an individual is a major problem in gait recognition due to the difficulty of the data acquisition. To address this issue, we not only compute real templates from training silhouette sequences directly, but also generate synthetic templates from training sequences by simulating silh