### TABLE III PARTICLE FILTER FOR VISUAL TRACKING BASED ON COLOR AND SOUND.

### Table 1: Outline of particle filter based implementation of partial map localization.

2003

Cited by 24

### Table 1: The Sampling Importance Resampling particle fllter.

"... In PAGE 3: ...t the current time slot. The third step is to resample based on the weights. The last step is for maintaining diversity, and thus preventing the degeneracy [3]. The algorithm scheme is shown in Table1 [1]. 2.... ..."

### Table 1. A particle filter for mobility tracking

### Table 1: Generic Particle Filter

"... In PAGE 2: ... The generic particle filter is given in Table 1. Note that the resampling stage of Table1 is necessary to limit the effects of degeneracy [4, 9], the case when only one particle has significant weight. In the design of a particle filter it is critical to choose a suitable importance density q(xt+1|xn 0:t, y0:t+1).... ..."

### Table 1: The KLD-sampling particle filter algorithm.

2001

"... In PAGE 3: ... A time update of one possible implementation of this algorithm is outlined in Table 1. Inputs: CBD8A0BD BP CUCWDCB4CXB5 D8A0BDBN DBB4CXB5 D8A0BDCX CY CX BP BDBN BM BM BM BN D2CV representing belief BUCTD0B4DCD8A0BDB5 CBD8 BMBP BNBN AB BP BC /* Generate n samples representing BUCTD0B4DCD8B5 */ for CX BMBP BDBN BM BM BM BN D2 do /* Resampling */ Sample an index CYB4CXB5 from the discrete distribution given by the weights in CBD8A0BD /* Sampling: Predict next state using the control information D9D8A0BD */ Sample DCB4CXB5 D8 from D4B4DCD8 CY DCD8A0BDBN D9D8A0BDB5 using DCB4CYB4CXB5B5 D8A0BD and D9D8A0BD /* Importance sampling: Compute importance weight based on likelihood of DDD8 */ DBB4CXB5 D8 BMBP D4B4DDD8 CY DCB4CXB5 D8 B5 AB BMBP AB B7 DBB4CXB5 D8 /* Insert sample into sample set */ CBD8 BMBP CBD8 CJ CUCWDCB4CXB5 D8 BN DBB4CXB5 D8 CXCV /* Normalize importance weights */ for CX BMBP BDBN BM BM BM BN D2 do DBB4CXB5 D8 BMBP DBB4CXB5 D8 BPAB return CBD8 Table1 : The basic particle filter algorithm. In the resampling step, the algorithm basically generates samples drawn according to the prior belief BUCTD0B4DCD8A0BDB5 represented by the weighted sample set CBD8A0BD.... ..."

Cited by 11

### Table 1. Parameters used for the baseline particle filter. Soldier Tracking SUV Tracking Van Tracking

2006

### Table 2: Pseudo-code of a localization Auxiliary Particle Filter

2006

Cited by 1